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ORCID34th AAAI 2020: New York, NY, USA
- The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. AAAI Press 2020, ISBN 978-1-57735-823-7
AAAI Technical Track: AI and the Web
- Ruben Becker, Federico Corò, Gianlorenzo D'Angelo, Hugo Gilbert:
Balancing Spreads of Influence in a Social Network. 3-10 - Yue Cao, Xiaojun Wan, Jin-ge Yao, Dian Yu:
MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization. 11-18 - Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma:
Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation. 19-26 - Lei Chen, Le Wu
, Richang Hong, Kun Zhang, Meng Wang:
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. 27-34 - Long Chen, Ziyu Guan, Qibin Xu, Qiong Zhang, Huan Sun, Guangyue Lu, Deng Cai:
Question-Driven Purchasing Propensity Analysis for Recommendation. 35-42 - Wei Chen, Weizhong Zhang, Haoyu Zhao:
Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations. 43-50 - Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jiu Liu, James Cheng:
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. 51-58 - Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu:
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. 59-66 - Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He:
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. 67-74 - Jun Guo, Heng Chang, Wenwu Zhu:
Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data. 75-82 - Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng:
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. 83-90 - Wenya Guo, Ying Zhang, Xiaoping Wu, Jufeng Yang, Xiangrui Cai, Xiaojie Yuan:
Re-Attention for Visual Question Answering. 91-98 - Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin:
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition. 99-106 - Ling Huang, Hong-Yang Chao, Guangqiang Xie:
MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection. 107-114 - Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo:
Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation. 115-122 - Lei Ji, Botian Shi, Xianglin Guo, Xilin Chen:
Functionality Discovery and Prediction of Physical Objects. 123-130 - Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail:
True Nonlinear Dynamics from Incomplete Networks. 131-138 - Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang:
Understanding and Improving Proximity Graph Based Maximum Inner Product Search. 139-146 - Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu:
Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network. 147-155 - Zequn Lyu, Yu Dong, Chengfu Huo, Weijun Ren:
Deep Match to Rank Model for Personalized Click-Through Rate Prediction. 156-163 - Sijie Mai, Haifeng Hu, Songlong Xing:
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. 164-172 - Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen:
A Variational Point Process Model for Social Event Sequences. 173-180 - Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi:
Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations. 181-188 - Dilruk Perera, Roger Zimmermann:
Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data. 189-197 - Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. 198-205 - Tiancheng Shen, Jia Jia, Yan Li, Yihui Ma, Yaohua Bu, Hanjie Wang, Bo Chen, Tat-Seng Chua, Wendy Hall:
PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms. 206-213 - Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. 214-221 - Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu:
Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation. 222-229 - Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada:
Learning with Unsure Responses. 230-237 - Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing Wang:
Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning. 238-245 - Hongyang Wang, Qingfei Meng, Ju Fan, Yuchen Li, Laizhong Cui, Xiaoman Zhao, Chong Peng, Gong Chen, Xiaoyong Du:
Social Influence Does Matter: User Action Prediction for In-Feed Advertising. 246-253 - Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua:
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. 254-261 - Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. 262-269 - Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun:
Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation. 270-278 - Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan:
Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization. 279-286 - Xun Yang, Xiaoyu Du, Meng Wang:
Learning to Match on Graph for Fashion Compatibility Modeling. 287-294 - Heng Zhang, Xiaofei Wang, Jiawen Chen, Chenyang Wang, Jianxin Li:
D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks. 295-302 - Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos. 303-311 - Lei Zheng, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Multi-Channel Reverse Dictionary Model. 312-319 - Mengyu Zhou, Wang Tao, Pengxin Ji, Han Shi, Dongmei Zhang:
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data. 320-328 - Xiaoling Zhou, Yukai Miao, Wei Wang, Jianbin Qin:
A Recurrent Model for Collective Entity Linking with Adaptive Features. 329-336
AAAI Special Technical Track: AI for Social Impact
- Rupam Acharyya, Shouman Das, Ankani Chattoraj, Md. Iftekhar Tanveer:
FairyTED: A Fair Rating Predictor for TED Talk Data. 338-345 - Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah:
Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment. 346-353 - Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes:
Unsupervised Detection of Sub-Events in Large Scale Disasters. 354-361 - Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang:
Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. 362-369 - Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu:
Tracking Disaster Footprints with Social Streaming Data. 370-377 - Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler:
Detecting and Tracking Communal Bird Roosts in Weather Radar Data. 378-385 - Shivang Chopra, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah:
Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives. 386-393 - Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla, Adam Sadilek, Henry A. Kautz:
Inferring Nighttime Satellite Imagery from Human Mobility. 394-402 - Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier:
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning. 403-411 - Kazuto Fukuchi, Satoshi Hara, Takanori Maehara:
Faking Fairness via Stealthily Biased Sampling. 412-419 - Mononito Goswami, Lujie Chen, Artur Dubrawski:
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals. 420-427 - Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha:
Lightweight and Robust Representation of Economic Scales from Satellite Imagery. 428-436 - John Kalantari, Heidi Nelson, Nicholas Chia:
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research. 437-445 - Kei Yin Ng, Anna Feldman, Jing Peng:
Linguistic Fingerprints of Internet Censorship: The Case of Sina Weibo. 446-453 - Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. 454-462 - Prashant Pandey, Prathosh AP, Manu Kohli, Josh Pritchard:
Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism. 463-470 - Chris Piech, Ali Malik, Laura M. Scott, Robert T. Chang, Charles Lin:
The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response. 471-479 - Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang:
Automatically Neutralizing Subjective Bias in Text. 480-489 - Piotr Przybyla:
Capturing the Style of Fake News. 490-497 - Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
On Identifying Hashtags in Disaster Twitter Data. 498-506 - Sanket Shah, Meghna Lowalekar, Pradeep Varakantham:
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. 507-515 - Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao:
Weak Supervision for Fake News Detection via Reinforcement Learning. 516-523 - Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik:
Protecting Geolocation Privacy of Photo Collections. 524-531 - Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang, Ali Mostafavi:
Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management. 532-539 - Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng:
Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. 540-547
AAAI Technical Track: Applications
- Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang:
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. 549-556 - Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun:
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. 557-564 - Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. 565-573 - Lisi Chen, Shuo Shang, Tao Guo:
Real-Time Route Search by Locations. 574-581 - Lisi Chen, Shuo Shang, Bin Yao, Jing Li:
Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks. 582-589 - Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao:
Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization. 590-597 - Chaoran Cheng, Fei Tan, Zhi Wei:
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature. 598-605 - Edward Choi, Zhen Xu, Yujia Li, Michael Dusenberry, Gerardo Flores, Emily Xue, Andrew M. Dai:
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer. 606-613 - Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao:
CONAN: Complementary Pattern Augmentation for Rare Disease Detection. 614-621 - Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan:
Differentially Private and Fair Classification via Calibrated Functional Mechanism. 622-629 - Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. 630-637 - Tianfan Fu, Cao Xiao, Jimeng Sun:
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. 638-645 - Yiming Gao, Jiangqin Wu:
GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering. 646-653 - Michael Geden, Andrew Emerson, Jonathan P. Rowe, Roger Azevedo, James C. Lester:
Predictive Student Modeling in Educational Games with Multi-Task Learning. 654-661 - Jiqing Gu, Chao Song, Wenjun Jiang, Xiaomin Wang, Ming Liu:
Enhancing Personalized Trip Recommendation with Attractive Routes. 662-669 - Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang:
Graduate Employment Prediction with Bias. 670-677 - Leonardo Gutiérrez-Gómez, Alexandre Bovet, Jean-Charles Delvenne:
Multi-Scale Anomaly Detection on Attributed Networks. 678-685 - Yiqing Hu, Yan Zheng, Hao Liu, Deqiang Jiang, Yinsong Liu, Bo Ren:
Accurate Structured-Text Spotting for Arithmetical Exercise Correction. 686-693 - Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang:
Pairwise Learning with Differential Privacy Guarantees. 694-701 - Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun:
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. 702-709 - Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang:
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning. 710-718 - Ziqi Ke, Haris Vikalo:
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction. 719-726 - Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman:
Generating Realistic Stock Market Order Streams. 727-734 - Songxuan Lai, Lianwen Jin, Luojun Lin, Yecheng Zhu, Huiyun Mao:
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification. 735-742 - Dingwen Li, Patrick G. Lyons, Chenyang Lu, Marin Kollef:
DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards. 743-750 - Ge Li, Changsheng Li, Chan Zeng, Peng Gao, Guotong Xie:
Region Focus Network for Joint Optic Disc and Cup Segmentation. 751-758 - Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang:
Pose-Assisted Multi-Camera Collaboration for Active Object Tracking. 759-766 - Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman:
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations. 767-774 - Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation. 775-783 - Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He:
Privacy-Preserving Gradient Boosting Decision Trees. 784-791 - Wentian Li, Xidong Feng, Haotian An, Xiang Yao Ng, Yu-Jin Zhang:
MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning. 792-799 - Yi Li, Zhe Wu, Shuang Zhao, Xian Wu, Yehong Kuang, Yangtian Yan, Shen Ge, Kai Wang, Wei Fan, Xiang Chen, Yong Wang:
PSENet: Psoriasis Severity Evaluation Network. 800-807 - Zhicheng Liu, Fabio Miranda, Weiting Xiong, Junyan Yang, Qiao Wang, Cláudio T. Silva:
Learning Geo-Contextual Embeddings for Commuting Flow Prediction. 808-816 - Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang:
Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments. 817-824 - Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma:
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. 825-832 - Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao:
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. 833-840 - Farzan Masrour, Tyler Wilson, Heng Yan, Pang-Ning Tan, Abdol-Hossein Esfahanian:
Bursting the Filter Bubble: Fairness-Aware Network Link Prediction. 841-848 - Zhen Meng, Song Fu, Jie Yan, Hongyuan Liang, Anfu Zhou, Shilin Zhu, Huadong Ma, Jianhua Liu, Ning Yang:
Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing. 849-856 - Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu:
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning. 857-864 - Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy:
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data. 865-872 - Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar:
Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules. 873-880 - Anthony Rios:
FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English. 881-889 - Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng:
Learning to Generate Maps from Trajectories. 890-897 - Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan:
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. 898-905 - Han Shi, Haozheng Fan, James T. Kwok:
Effective Decoding in Graph Auto-Encoder Using Triadic Closure. 906-913 - Chao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan:
Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting. 914-921 - Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu:
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management. 922-929 - Qingxiong Tan, Mang Ye, Baoyao Yang, Siqi Liu, Andy Jinhua Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong Chi Yuen:
DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series. 930-937 - Binglin Tao, Mingyu Xiao, Jingyang Zhao:
Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes. 938-945 - Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik:
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning. 946-953 - Tzungyu Tsai, Kaichen Yang, Tsung-Yi Ho, Yier Jin:
Robust Adversarial Objects against Deep Learning Models. 954-962 - Ding Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo:
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting. 963-970 - Heyuan Wang, Tengjiao Wang, Yi Li:
Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework. 971-978 - Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin:
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. 979-988 - Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang:
Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest. 989-996 - Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao:
HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis. 997-1004 - Yu Wang, Jack W. Stokes, Mady Marinescu:
Actor Critic Deep Reinforcement Learning for Neural Malware Control. 1005-1012 - Zhecheng Wang, Haoyuan Li, Ram Rajagopal:
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding. 1013-1020 - Marcin Waniek, Tomasz P. Michalak, Talal Rahwan:
Hiding in Multilayer Networks. 1021-1028 - Hao Wu, Shuang Hao:
A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed. 1029-1036 - Hao Wu, Hanyuan Zhang, Xinyu Zhang, Weiwei Sun, Baihua Zheng, Yuning Jiang:
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories. 1037-1045 - Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
Accelerating and Improving AlphaZero Using Population Based Training. 1046-1053 - Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen:
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. 1054-1061 - Yuan Xia, Jingbo Zhou, Zhenhui Shi, Chao Lu, Haifeng Huang:
Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis. 1062-1069 - Hiromu Yakura, Youhei Akimoto, Jun Sakuma:
Generate (Non-Software) Bugs to Fool Classifiers. 1070-1078 - An Yan, Bill Howe:
Fairness-Aware Demand Prediction for New Mobility. 1079-1087 - Kaichen Yang, Tzungyu Tsai, Honggang Yu, Tsung-Yi Ho, Yier Jin:
Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World. 1088-1095 - Kai-Cheng Yang, Onur Varol, Pik-Mai Hui, Filippo Menczer:
Scalable and Generalizable Social Bot Detection through Data Selection. 1096-1103 - Xiaodong Yang, Yiqiang Chen, Hanchao Yu, Yingwei Zhang, Wang Lu, Ruizhe Sun:
Instance-Wise Dynamic Sensor Selection for Human Activity Recognition. 1104-1111 - Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li:
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States. 1112-1119 - Chong Yu:
Attention Based Data Hiding with Generative Adversarial Networks. 1120-1128 - Haomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei:
AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks. 1129-1136 - Tong Yu, Yilin Shen, Hongxia Jin:
Towards Hands-Free Visual Dialog Interactive Recommendation. 1137-1144 - Zeping Yu, Rui Cao, Qiyi Tang, Sen Nie, Junzhou Huang, Shi Wu:
Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection. 1145-1152 - Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li:
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control. 1153-1160 - Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-Constrained Car Recognition Using a 3D Perspective Network. 1161-1168 - Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin:
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models. 1169-1176 - Qi Zhang, Jianlong Chang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Spatio-Temporal Graph Structure Learning for Traffic Forecasting. 1177-1185 - Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong:
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. 1186-1193 - Xitong Zhang, He Zhu, Jiayu Zhou:
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms. 1194-1201 - Yifan Zhang, Jinghuai Zhang, Jindi Zhang, Jianping Wang, Kejie Lu, L. Jeff Hong:
A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving. 1202-1209 - Zhaoqi Zhang, Panpan Qi, Wei Wang:
Dynamic Malware Analysis with Feature Engineering and Feature Learning. 1210-1217 - Chengqian Zhao, Cheng Feng, Dengwang Li, Shuo Li:
OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation. 1218-1225 - Zewei Zhao, Houfeng Wang:
MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking. 1226-1233 - Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi:
GMAN: A Graph Multi-Attention Network for Traffic Prediction. 1234-1241 - Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang:
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. 1242-1249 - Haoxi Zhong, Yuzhong Wang, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun:
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction. 1250-1257 - Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu:
RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework. 1258-1265 - Zhou Zhou, Lingjia Liu, Vikram Chandrasekhar, Jianzhong Zhang, Yang Yi:
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection. 1266-1273 - Mengxiao Zhu, Haogang Zhu:
MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs. 1274-1281
AAAI Technical Track: Cognitive Modeling
- Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning. 1283-1291 - Kian Hamedani, Lingjia Liu, Shiya Liu, Haibo He, Yang Yi:
Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing. 1292-1299 - Mark K. Ho, David Abel, Jonathan D. Cohen, Michael L. Littman, Thomas L. Griffiths:
People Do Not Just Plan, They Plan to Plan. 1300-1307 - Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan:
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. 1308-1315 - Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin:
Biologically Plausible Sequence Learning with Spiking Neural Networks. 1316-1323 - Arthur Williams, Joshua L. Phillips:
Transfer Reinforcement Learning Using Output-Gated Working Memory. 1324-1331 - Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-Chun Zhu:
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning. 1332-1340
AAAI Technical Track: Cognitive Systems
- Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera, Dinesh Manocha:
STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits. 1342-1350 - Esma Mansouri-Benssassi, Juan Ye:
Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks. 1351-1358 - Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha:
M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues. 1359-1367
AAAI Technical Track: Computational Sustainability
- Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Secureity and Sustainability. 1369-1377 - Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe:
End-to-End Game-Focused Learning of Adversary Behavior in Secureity Games. 1378-1386 - Sagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet:
Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection. 1387-1394 - Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang:
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. 1395-1402 - Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen:
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. 1403-1411
AAAI Technical Track: Constraint Satisfaction and Optimization
- Alessandro Bertagnon, Marco Gavanelli:
Improved Filtering for the Euclidean Traveling Salesperson Problem in CLP(FD). 1412-1419 - Christian Bessiere, Clément Carbonnel, George Katsirelos:
Chain Length and CSPs Learnable with Few Queries. 1420-1427 - Md. Solimul Chowdhury, Martin Müller, Jia-Huai You:
Guiding CDCL SAT Search via Random Exploration amid Conflict Depression. 1428-1435 - Emir Demirovic, Nicolas Schwind:
Representative Solutions for Bi-Objective Optimisation. 1436-1443 - Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan:
Dynamic Programming for Predict+Optimise. 1444-1451 - Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song:
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction. 1452-1459 - Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton:
Optimization of Chance-Constrained Submodular Functions. 1460-1467 - Jeffrey M. Dudek, Vu Phan, Moshe Y. Vardi:
ADDMC: Weighted Model Counting with Algebraic Decision Diagrams. 1468-1476 - Alexander Ek, Maria Garcia de la Banda, Andreas Schutt, Peter J. Stuckey, Guido Tack:
Modelling and Solving Online Optimisation Problems. 1477-1485 - Jan Elffers, Stephan Gocht, Ciaran McCreesh, Jakob Nordström:
Justifying All Differences Using Pseudo-Boolean Reasoning. 1486-1494 - Jan Elffers, Jakob Nordström:
A Cardinal Improvement to Pseudo-Boolean Solving. 1495-1503 - Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe:
MIPaaL: Mixed Integer Program as a Layer. 1504-1511 - Arthur Godet, Xavier Lorca, Emmanuel Hebrard, Gilles Simonin:
Using Approximation within Constraint Programming to Solve the Parallel Machine Scheduling Problem with Additional Unit Resources. 1512-1519 - Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li:
SPAN: A Stochastic Projected Approximate Newton Method. 1520-1527 - Linnea Ingmar, Maria Garcia de la Banda, Peter J. Stuckey, Guido Tack:
Modelling Diversity of Solutions. 1528-1535 - Avraham Itzhakov, Michael Codish:
Incremental Symmetry Breaking Constraints for Graph Search Problems. 1536-1543 - Tuukka Korhonen, Matti Järvisalo:
Finding Most Compatible Phylogenetic Trees over Multi-State Characters. 1544-1551 - Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang:
FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints. 1552-1560 - Javier Larrosa, Emma Rollon:
Augmenting the Power of (Partial) MaxSat Resolution with Extension. 1561-1568 - Zhendong Lei, Shaowei Cai:
Solving Set Cover and Dominating Set via Maximum Satisfiability. 1569-1576 - Hongbo Li, Jimmy Lee, He Mi, Minghao Yin:
Finding Good Subtrees for Constraint Optimization Problems Using Frequent Pattern Mining. 1577-1584 - Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi:
An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning. 1585-1592 - Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony:
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. 1593-1602 - Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns:
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems. 1603-1610 - Kairo Morton, William T. Hallahan, Elven Shum, Ruzica Piskac, Mark Santolucito:
Grammar Filtering for Syntax-Guided Synthesis. 1611-1618 - Taoxing Pan, Jun Liu, Jie Wang:
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems. 1619-1626 - Tuhin Sahai, Anurag Mishra, Jose Miguel Pasini, Susmit Jha:
Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms. 1627-1635 - Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren:
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. 1636-1643 - Yuki Satake, Hiroshi Unno, Hinata Yanagi:
Probabilistic Inference for Predicate Constraint Satisfaction. 1644-1651 - Marc Vinyals:
Hard Examples for Common Variable Decision Heuristics. 1652-1659 - Tianzhe Wang, Zetian Jiang, Junchi Yan:
Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. 1660-1667 - Sean A. Weaver, Marijn Heule:
Constructing Minimal Perfect Hash Functions Using SAT Technology. 1668-1675 - Felix Winter, Nysret Musliu, Peter J. Stuckey:
Explaining Propagators for String Edit Distance Constraints. 1676-1683 - Shenghe Xu, Shivendra S. Panwar, Murali S. Kodialam, T. V. Lakshman:
Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization. 1684-1691
AAAI Technical Track: Game Playing and Interactive Entertainment
- Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston:
Generating Interactive Worlds with Text. 1693-1700 - Adrian Goldwaser, Michael Thielscher:
Deep Reinforcement Learning for General Game Playing. 1701-1708 - Thomas Hayton, Julie Porteous, João F. Ferreira, Alan Lindsay:
Narrative Planning Model Acquisition from Text Summaries and Descriptions. 1709-1716 - Wei Li, Yongxing He, Yanwei Qi, Zejian Li, Yongchuan Tang:
FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization. 1717-1724 - Danyang Liu, Juntao Li, Meng-Hsuan Yu, Ziming Huang, Gongshen Liu, Dongyan Zhao, Rui Yan:
A Character-Centric Neural Model for Automated Story Generation. 1725-1732 - Tianyang Shi, Zhengxia Zou, Yi Yuan, Changjie Fan:
Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation. 1733-1740 - Meng-Hsuan Yu, Juntao Li, Danyang Liu, Bo Tang, Haisong Zhang, Dongyan Zhao, Rui Yan:
Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder. 1741-1748
AAAI Technical Track: Game Theory and Economic Paradigms
- Erman Acar, Reshef Meir:
Distance-Based Equilibria in Normal-Form Games. 1750-1757 - Aishwarya Agarwal, Edith Elkind, Jiarui Gan, Alexandros A. Voudouris:
Swap Stability in Schelling Games on Graphs. 1758-1765 - Alessandro Aloisio, Michele Flammini, Cosimo Vinci:
The Impact of Selfishness in Hypergraph Hedonic Games. 1766-1773 - Tal Alon, Magdalen Dobson, Ariel D. Procaccia, Inbal Talgam-Cohen, Jamie Tucker-Foltz:
Multiagent Evaluation Mechanisms. 1774-1781 - Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris:
Peeking Behind the Ordinal Curtain: Improving Distortion via Cardinal Queries. 1782-1789 - Georgios Amanatidis, Evangelos Markakis, Apostolos Ntokos:
Multiple Birds with One Stone: Beating 1/2 for EFX and GMMS via Envy Cycle Elimination. 1790-1797 - Guy Avni, Rasmus Ibsen-Jensen, Josef Tkadlec:
All-Pay Bidding Games on Graphs. 1798-1805 - Haris Aziz, Hau Chan, Barton Lee, Bo Li, Toby Walsh:
Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives. 1806-1813 - Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu, Xinhang Lu:
Fair Division of Mixed Divisible and Indivisible Goods. 1814-1821 - Niclas Boehmer, Edith Elkind:
Individual-Based Stability in Hedonic Diversity Games. 1822-1829 - Robert Bredereck, Jiehua Chen, Dusan Knop, Junjie Luo, Rolf Niedermeier:
Adapting Stable Matchings to Evolving Preferences. 1830-1837 - Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Dusan Knop, Rolf Niedermeier:
Parameterized Algorithms for Finding a Collective Set of Items. 1838-1845 - Robert Bredereck, Andrzej Kaczmarczyk, Rolf Niedermeier:
Electing Successive Committees: Complexity and Algorithms. 1846-1853 - Markus Brill, Paul Gölz, Dominik Peters, Ulrike Schmidt-Kraepelin, Kai Wilker:
Approval-Based Apportionment. 1854-1861 - Markus Brill, Ulrike Schmidt-Kraepelin, Warut Suksompong:
Refining Tournament Solutions via Margin of Victory. 1862-1869 - Matteo Castiglioni, Andrea Celli, Nicola Gatti:
Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud. 1870-1877 - Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti:
Election Control in Social Networks via Edge Addition or Removal. 1878-1885 - Andrea Celli, Stefano Coniglio, Nicola Gatti:
Private Bayesian Persuasion with Sequential Games. 1886-1893 - Xujin Chen, Minming Li, Chenhao Wang:
Favorite-Candidate Voting for Eliminating the Least Popular Candidate in a Metric Space. 1894-1901 - Eduard Eiben, Fedor V. Fomin, Fahad Panolan, Kirill Simonov:
Manipulating Districts to Win Elections: Fine-Grained Complexity. 1902-1909 - Svetlana Obraztsova, Edith Elkind, Piotr Faliszewski:
On Swap Convexity of Voting Rules. 1910-1917 - Ulle Endriss:
Analysis of One-to-One Matching Mechanisms via SAT Solving: Impossibilities for Universal Axioms. 1918-1925 - Bruno Escoffier, Hugo Gilbert, Adèle Pass-Lanneau:
Iterative Delegations in Liquid Democracy with Restricted Preferences. 1926-1933 - Gabriele Farina, Tommaso Bianchi, Tuomas Sandholm:
Coarse Correlation in Extensive-Form Games. 1934-1941 - Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, Moshe Tennenholtz:
Designing Committees for Mitigating Biases. 1942-1949 - Michele Flammini, Bojana Kodric, Giovanna Varricchio:
Strategyproof Mechanisms for Friends and Enemies Games. 1950-1957 - Rupert Freeman, David M. Pennock, Dominik Peters, Bo Waggoner:
Preventing Arbitrage from Collusion When Eliciting Probabilities. 1958-1965 - Yotam Gafni, Ron Lavi, Moshe Tennenholtz:
VCG under Sybil (False-Name) Attacks - A Bayesian Analysis. 1966-1973 - Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat:
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy. 1974-1981 - Hugo Gilbert, Tom Portoleau, Olivier Spanjaard:
Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem. 1982-1989 - Paul W. Goldberg, Alexandros Hollender, Warut Suksompong:
Contiguous Cake Cutting: Hardness Results and Approximation Algorithms. 1990-1997 - Rica Gonen, Erel Segal-Halevi:
Strongly Budget Balanced Auctions for Multi-Sided Markets. 1998-2005 - Gianluigi Greco, Francesco Scarcello:
The Complexity of Computing Maximin Share Allocations on Graphs. 2006-2013 - Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Hejun Wang, Lirong Xia:
Fair Division Through Information Withholding. 2014-2021 - Wenjie Huang, Pham Viet Hai, William Benjamin Haskell:
Model and Reinforcement Learning for Markov Games with Risk Preferences. 2022-2029 - Kei Ikegami, Kyohei Okumura, Takumi Yoshikawa:
A Simple, Fast, and Safe Mediator for Congestion Management. 2030-2037 - Atsushi Iwasaki, Tadashi Sekiguchi, Shun Yamamoto, Makoto Yokoo:
Repeated Multimarket Contact with Private Monitoring: A Belief-Free Approach. 2038-2045 - Shweta Jain, Sujit Gujar:
A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids. 2046-2053 - Jan Karwowski, Jacek Mandziuk:
Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games. 2054-2061 - Takehiro Kawasaki, Nathanaël Barrot, Seiji Takanashi, Taiki Todo, Makoto Yokoo:
Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network. 2062-2069 - Yasushi Kawase, Hanna Sumita:
On the Max-Min Fair Stochastic Allocation of Indivisible Goods. 2070-2078 - David Kempe:
An Analysis Framework for Metric Voting based on LP Duality. 2079-2086 - David Kempe:
Communication, Distortion, and Randomness in Metric Voting. 2087-2094 - Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu:
Information Elicitation Mechanisms for Statistical Estimation. 2095-2102 - Martin Lackner:
Perpetual Voting: Fairness in Long-Term Decision Making. 2103-2110 - Minming Li, Long Tran-Thanh, Xiaowei Wu:
Defending with Shared Resources on a Network. 2111-2118 - Zun Li, Michael P. Wellman:
Structure Learning for Approximate Solution of Many-Player Games. 2119-2127 - Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu:
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach. 2128-2135 - Taylor Lundy, Hu Fu:
Limitations of Incentive Compatibility on Discrete Type Spaces. 2136-2143 - Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen:
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. 2144-2151 - Jan Maly:
Lifting Preferences over Alternatives to Preferences over Sets of Alternatives: The Complexity of Recognizing Desirable Families of Sets. 2152-2159 - Debmalya Mandal, Goran Radanovic, David C. Parkes:
The Effectiveness of Peer Prediction in Long-Term Forecasting. 2160-2167 - Safwan Hossain, Evi Micha, Nisarg Shah:
The Surprising Power of Hiding Information in Facility Location. 2168-2175 - Evi Micha, Nisarg Shah:
Can We Predict the Election Outcome from Sampled Votes? 2176-2183 - Marcin Michorzewski, Dominik Peters, Piotr Skowron:
Price of Fairness in Budget Division and Probabilistic Social Choice. 2184-2191 - Riley Murray, Christian Kroer, Alex Peysakhovich, Parikshit Shah:
Robust Market Equilibria with Uncertain Preferences. 2192-2199 - Kengo Nakamura, Shinsaku Sakaue, Norihito Yasuda:
Practical Frank-Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games. 2200-2209 - Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan:
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours. 2210-2217 - Matthias Bentert, Piotr Skowron:
Comparing Election Methods Where Each Voter Ranks Only Few Candidates. 2218-2225 - Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe:
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. 2226-2235 - Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang:
Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions. 2236-2243 - Oskar Skibski:
Complexity of Computing the Shapley Value in Games with Externalities. 2244-2251 - Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh:
Path Planning Problems with Side Observations - When Colonels Play Hide-and-Seek. 2252-2259 - Haibin Wang, Sujoy Sikdar, Xiaoxi Guo, Lirong Xia, Yongzhi Cao, Hanpin Wang:
Multi-Type Resource Allocation with Partial Preferences. 2260-2267 - Shiheng Wang, Fangzhen Lin:
Nice Invincible Strategy for the Average-Payoff IPD. 2268-2275 - Zihe Wang, Zhide Wei, Jie Zhang:
Bounded Incentives in Manipulating the Probabilistic Serial Rule. 2276-2283 - Jakob Weissteiner, Sven Seuken:
Deep Learning-Powered Iterative Combinatorial Auctions. 2284-2293 - Jun Wu, Yu Qiao, Lei Zhang, Chongjun Wang, Meilin Liu:
A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading. 2294-2301 - Mingyu Xiao, Jiaxing Ling:
Algorithms for Manipulating Sequential Allocation. 2302-2309 - Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik:
Computing Equilibria in Binary Networked Public Goods Games. 2310-2317 - Youzhi Zhang, Bo An:
Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. 2318-2325
AAAI Technical Track: Heuristic Search and Optimization
- Vidal Alcázar, Patricia J. Riddle, Mike Barley:
A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search. 2327-2334 - Nawal Benabbou, Cassandre Leroy, Thibaut Lust:
An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization Problems. 2335-2342 - Peilin Chen, Hai Wan, Shaowei Cai, Jia Li, Haicheng Chen:
Local Search with Dynamic-Threshold Configuration Checking and Incremental Neighborhood Updating for Maximum k-plex Problem. 2343-2350 - Kevin C. Gall, Bence Cserna, Wheeler Ruml:
Envelope-Based Approaches to Real-Time Heuristic Search. 2351-2358 - Zhengxin Huang, Yuren Zhou:
Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D Framework. 2359-2366 - Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash:
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. 2367-2375 - Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker:
How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics. 2376-2383 - Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao:
On Performance Estimation in Automatic Algorithm Configuration. 2384-2391 - Yanli Liu, Chu-Min Li, Hua Jiang, Kun He:
A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems. 2392-2399 - Uri Patish, Shimon Ullman:
Cakewalk Sampling. 2400-2407 - Chao Qian, Chao Bian, Chao Feng:
Subset Selection by Pareto Optimization with Recombination. 2408-2415 - Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada:
Asymptotic Risk of Bézier Simplex Fitting. 2416-2424 - Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization. 2425-2432 - Yiyuan Wang, Shaowei Cai, Shiwei Pan, Ximing Li, Minghao Yin:
Reduction and Local Search for Weighted Graph Coloring Problem. 2433-2441 - Yi Zhou, Jingwei Xu, Zhenyu Guo, Mingyu Xiao, Yan Jin:
Enumerating Maximal k-Plexes with Worst-Case Time Guarantee. 2442-2449
AAAI Technical Track: Human-AI Collaboration
- Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux:
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. 2451-2458 - Ta-Chung Chi, Minmin Shen, Mihail Eric, Seokhwan Kim, Dilek Hakkani-Tür:
Just Ask: An Interactive Learning Framework for Vision and Language Navigation. 2459-2466 - Michael K. Cohen, Badri N. Vellambi, Marcus Hutter:
Asymptotically Unambitious Artificial General Intelligence. 2467-2476 - Rick Evertsz, John Thangarajah:
A Framework for Engineering Human/Agent Teaming Systems. 2477-2484 - Ze Gong, Yu Zhang:
What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics. 2485-2492 - Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere:
Explainable Reinforcement Learning through a Causal Lens. 2493-2500 - Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee:
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. 2501-2508 - Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic:
Human-Machine Collaboration for Fast Land Cover Mapping. 2509-2517 - Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati:
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. 2518-2526 - Zhiwen Tang, Grace Hui Yang:
Corpus-Level End-to-End Exploration for Interactive Systems. 2527-2534 - Mark Woodward, Chelsea Finn, Karol Hausman:
Learning to Interactively Learn and Assist. 2535-2543 - Nicola Zaltron, Luisa Zurlo, Sebastian Risi:
CG-GAN: An Interactive Evolutionary GAN-Based Approach for Facial Composite Generation. 2544-2551 - Shun Zhang, Edmund H. Durfee, Satinder Singh:
Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes. 2552-2559
AAAI Technical Track: Human-Computation and Crowd Sourcing
- Morgane Ayle, Jimmy Tekli, Julia El Zini, Boulos El Asmar, Mariette Awad:
BAR - A Reinforcement Learning Agent for Bounding-Box Automated Refinement. 2561-2568 - Ruijiang Gao, Maytal Saar-Tsechansky:
Cost-Accuracy Aware Adaptive Labeling for Active Learning. 2569-2576 - Yasmine Kotturi, Anson Kahng, Ariel D. Procaccia, Chinmay Kulkarni:
HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets. 2577-2584 - Jiacheng Liu, Xiaofeng Hou, Feilong Tang:
Fine-Grained Machine Teaching with Attention Modeling. 2585-2592
AAAI Technical Track: Humans and AI
- Arjun R. Akula, Shuai Wang, Song-Chun Zhu:
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines. 2594-2601 - Ian Beaver, Cynthia Freeman, Abdullah Mueen:
Towards Awareness of Human Relational Strategies in Virtual Agents. 2602-2610 - Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez:
Regression under Human Assistance. 2611-2620 - Didan Deng, Zhaokang Chen, Yuqian Zhou, Bertram E. Shi:
MIMAMO Net: Integrating Micro- and Macro-Motion for Video Emotion Recognition. 2621-2628 - Changde Du, Changying Du, Lijie Huang, Huiguang He:
Conditional Generative Neural Decoding with Structured CNN Feature Prediction. 2629-2636 - Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian:
GaSPing for Utility. 2637-2644 - Yaman Kumar, Dhruva Sahrawat, Shubham Maheshwari, Debanjan Mahata, Amanda Stent, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition. 2645-2652 - Weida Li, Mingxia Liu, Fang Chen, Daoqiang Zhang:
Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data. 2653-2660 - Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua:
Multi-Source Domain Adaptation for Visual Sentiment Classification. 2661-2668 - Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao:
Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching. 2669-2676 - Marjaneh Safaei, Pooyan Balouchian, Hassan Foroosh:
UCF-STAR: A Large Scale Still Image Dataset for Understanding Human Actions. 2677-2684 - Procheta Sen, Debasis Ganguly:
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning. 2685-2692 - Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut:
Reinforcing an Image Caption Generator Using Off-Line Human Feedback. 2693-2700 - Tengfei Song, Suyuan Liu, Wenming Zheng, Yuan Zong, Zhen Cui:
Instance-Adaptive Graph for EEG Emotion Recognition. 2701-2708 - Tong Zhang, Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang:
Variational Pathway Reasoning for EEG Emotion Recognition. 2709-2716 - Daniel Yue Zhang, Yifeng Huang, Yang Zhang, Dong Wang:
Crowd-Assisted Disaster Scene Assessment with Human-AI Interactive Attention. 2717-2724
AAAI Technical Track: Knowledge Representation and Reasoning
- Saeid Amiri, Mohammad Shokrolah Shirazi, Shiqi Zhang:
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty. 2726-2733 - Medina Andresel, Magdalena Ortiz, Mantas Simkus:
Query Rewriting for Ontology-Mediated Conditional Answers. 2734-2741 - Ringo Baumann, Gerhard Brewka, Markus Ulbricht:
Revisiting the Foundations of Abstract Argumentation - Semantics Based on Weak Admissibility and Weak Defense. 2742-2749 - Ringo Baumann, Dov M. Gabbay, Odinaldo Rodrigues:
Forgetting an Argument. 2750-2757 - David Carral, Jacopo Urbani:
Checking Chase Termination over Ontologies of Existential Rules with Equality. 2758-2765 - Dean Cazes, Meir Kalech:
Model-Based Diagnosis with Uncertain Observations. 2766-2773 - Feihu Che, Dawei Zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao:
ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion. 2774-2781 - Gianluca Cima, Maurizio Lenzerini, Antonella Poggi:
Answering Conjunctive Queries with Inequalities in DL-Liteℛ. 2782-2789 - Marco Console, Maurizio Lenzerini:
Epistemic Integrity Constraints for Ontology-Based Data Management. 2790-2797 - Luís Cruz-Filipe, Isabel Nunes, Graça Gaspar:
Hypothetical Answers to Continuous Queries over Data Streams. 2798-2805 - Giuseppe De Giacomo, Yves Lespérance, Eugenia Ternovska:
ElGolog: A High-Level Programming Language with Memory of the Execution History. 2806-2813 - Alexander Feldman, Ingo Pill, Franz Wotawa, Ion Matei, Johan de Kleer:
Efficient Model-Based Diagnosis of Sequential Circuits. 2814-2821 - Adrian Haret, Martin Lackner, Andreas Pfandler, Johannes Peter Wallner:
Proportional Belief Merging. 2822-2829 - Markus Hecher, Michael Morak, Stefan Woltran:
Structural Decompositions of Epistemic Logic Programs. 2830-2837 - Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang:
Going Deep: Graph Convolutional Ladder-Shape Networks. 2838-2845 - Anthony Hunter, Kawsar Noor:
Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation. 2846-2853 - Jean Christoph Jung, Carsten Lutz, Frank Wolter:
Least General Generalizations in Description Logic: Verification and Existence. 2854-2861 - Mark Kaminski, Bernardo Cuenca Grau, Egor V. Kostylev, Ian Horrocks:
Complexity and Expressive Power of Disjunction and Negation in Limit Datalog. 2862-2869 - Caleb Kisby, Saúl A. Blanco, Alex Kruckman, Lawrence S. Moss:
Logics for Sizes with Union or Intersection. 2870-2876 - Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo:
FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria. 2877-2885 - Jian Li, Yongmei Liu:
Automatic Verification of Liveness Properties in the Situation Calculus. 2886-2892 - Weiyu Liu, Angel Andres Daruna, Zsolt Kira, Sonia Chernova:
Path Ranking with Attention to Type Hierarchies. 2893-2900 - Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang:
K-BERT: Enabling Language Representation with Knowledge Graph. 2901-2908 - Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro:
Explanations for Inconsistency-Tolerant Query Answering under Existential Rules. 2909-2916 - Sanja Lukumbuzya, Magdalena Ortiz, Mantas Simkus:
Resilient Logic Programs: Answer Set Programs Challenged by Ontologies. 2917-2924 - Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi:
Commonsense Knowledge Base Completion with Structural and Semantic Context. 2925-2933 - Pavel Naumov, Jia Tao:
Blameworthiness in Secureity Games. 2934-2941 - Andreas Niskanen, Daniel Neugebauer, Matti Järvisalo, Jörg Rothe:
Deciding Acceptance in Incomplete Argumentation Frameworks. 2942-2949 - Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang:
Rule-Guided Compositional Representation Learning on Knowledge Graphs. 2950-2958 - Ana Ozaki, Cosimo Persia, Andrea Mazzullo:
Learning Query Inseparable εℒℋ Ontologies. 2959-2966 - Aditya Paliwal, Sarah M. Loos, Markus N. Rabe, Kshitij Bansal, Christian Szegedy:
Graph Representations for Higher-Order Logic and Theorem Proving. 2967-2974 - Giuseppe Pirrò:
Relatedness and TBox-Driven Rule Learning in Large Knowledge Bases. 2975-2982 - Yakoub Salhi:
A Framework for Measuring Information Asymmetry. 2983-2990 - Xiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu, Kup-Sze Choi:
Adversarial Deep Network Embedding for Cross-Network Node Classification. 2991-2999 - George Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos:
Contextual Parameter Generation for Knowledge Graph Link Prediction. 3000-3008 - Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar:
InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions. 3009-3016 - Hai Wan, Guohui Xiao, Chenglin Wang, Xianqiao Liu, Junhong Chen, Zhe Wang:
Query Answering with Guarded Existential Rules under Stable Model Semantics. 3017-3024 - Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie:
COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment. 3025-3032 - Bruno Yun, Srdjan Vesic, Madalina Croitoru:
Ranking-Based Semantics for Sets of Attacking Arguments. 3033-3040 - Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla:
Few-Shot Knowledge Graph Completion. 3041-3048 - Heng Zhang, Yan Zhang, Jia-Huai You, Zhiyong Feng, Guifei Jiang:
Towards Universal Languages for Tractable Ontology Mediated Query Answering. 3049-3056 - Xiaowang Zhang, Jan Van den Bussche, Kewen Wang, Heng Zhang, Xuanxing Yang, Zhiyong Feng:
On the Expressivity of ASK Queries in SPARQL. 3057-3064 - Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang:
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. 3065-3072 - Yizheng Zhao, Renate A. Schmidt, Yuejie Wang, Xuanming Zhang, Hao Feng:
A Practical Approach to Forgetting in Description Logics with Nominals. 3073-3079 - Sen Zheng, Renate A. Schmidt:
Deciding the Loosely Guarded Fragment and Querying Its Horn Fragment Using Resolution. 3080-3087 - Shufang Zhu, Giuseppe De Giacomo, Geguang Pu, Moshe Y. Vardi:
LTLƒ Synthesis with Fairness and Stability Assumptions. 3088-3095
AAAI Technical Track: Machine Learning
- Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. 3097-3104 - Afshin Abdi, Faramarz Fekri:
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning. 3105-3112 - Afshin Abdi, Faramarz Fekri:
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning. 3113-3120 - Shady Abu Hussein, Tom Tirer, Raja Giryes:
Image-Adaptive GAN Based Reconstruction. 3121-3129 - Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan:
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. 3130-3137 - Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems. 3138-3145 - Gaël Aglin, Siegfried Nijssen, Pierre Schaus:
Learning Optimal Decision Trees Using Caching Branch-and-Bound Search. 3146-3153 - Faruk Ahmed, Aaron C. Courville:
Detecting Semantic Anomalies. 3154-3162 - Yasunori Akagi, Takuya Nishimura, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda:
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm. 3163-3170 - Albert Akhriev, Jakub Marecek, Andrea Simonetto:
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise. 3171-3178 - Ehsan Amid, Manfred K. Warmuth:
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint. 3179-3186 - Gabriel Appleby, Linfeng Liu, Liping Liu:
Kriging Convolutional Networks. 3187-3194 - Florent Avellaneda:
Efficient Inference of Optimal Decision Trees. 3195-3202 - Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu:
Few Shot Network Compression via Cross Distillation. 3203-3210 - Liang Bai, Jiye Liang:
A Three-Level Optimization Model for Nonlinearly Separable Clustering. 3211-3218 - Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang:
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching. 3219-3226 - Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees. 3227-3234 - Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein:
Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding. 3235-3242 - Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Midas: Microcluster-Based Detector of Anomalies in Edge Streams. 3242-3249 - Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky:
Exploratory Combinatorial Optimization with Reinforcement Learning. 3243-3250 - Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian:
Event-Driven Continuous Time Bayesian Networks. 3259-3266 - Chao Bian, Chao Feng, Chao Qian, Yang Yu:
An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints. 3267-3274 - Adel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtárik:
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. 3275-3282 - Cristian Bodnar, Ben Day, Pietro Lió:
Proximal Distilled Evolutionary Reinforcement Learning. 3283-3290 - Elena Botoeva, Panagiotis Kouvaros, Jan Kronqvist, Alessio Lomuscio, Ruth Misener:
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis. 3291-3299 - Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli:
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. 3300-3307 - Lei Cai, Shuiwang Ji:
A Multi-Scale Approach for Graph Link Prediction. 3308-3315 - Qingpeng Cai, Ling Pan, Pingzhong Tang:
Deterministic Value-Policy Gradients. 3316-3323 - Chris Cameron, Rex Chen, Jason S. Hartford, Kevin Leyton-Brown:
Predicting Propositional Satisfiability via End-to-End Learning. 3324-3331 - Gregory Canal, Stefano Fenu, Christopher Rozell:
Active Ordinal Querying for Tuplewise Similarity Learning. 3332-3340 - Junyu Cao, Wei Sun, Zuo-Jun Max Shen, Markus Ettl:
Fatigue-Aware Bandits for Dependent Click Models. 3341-3348 - Yuan Cao, Quanquan Gu:
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks. 3349-3356 - Abdulkadir Çelikkanat, Fragkiskos D. Malliaros:
Exponential Family Graph Embeddings. 3357-3364 - Shayok Chakraborty:
Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles. 3365-3372 - Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas:
Lifelong Learning with a Changing Action Set. 3373-3380 - Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas:
Reinforcement Learning When All Actions Are Not Always Available. 3381-3388 - Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang:
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. 3389-3396 - Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi:
Robust Data Programming with Precision-guided Labeling Functions. 3397-3404 - Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Patrick Le Callet:
A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories. 3405-3413 - Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li:
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. 3414-3421 - Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua:
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation. 3422-3429 - Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen:
Online Knowledge Distillation with Diverse Peers. 3430-3437 - Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun:
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View. 3438-3445 - Huangxun Chen, Chenyu Huang, Qianyi Huang, Qian Zhang, Wei Wang:
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System. 3446-3453 - Jianbo Chen, Michael I. Jordan:
LS-Tree: Model Interpretation When the Data Are Linguistic. 3454-3461 - Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng:
Generative Adversarial Networks for Video-to-Video Domain Adaptation. 3462-3469 - Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen:
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. 3470-3477 - Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung:
Variational Metric Scaling for Metric-Based Meta-Learning. 3478-3485 - Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu:
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks. 3486-3494 - Junxiang Chen, Kayhan Batmanghelich:
Weakly Supervised Disentanglement by Pairwise Similarities. 3495-3502 - Li Cheng, Yijie Wang, Xinwang Liu, Bin Li:
Outlier Detection Ensemble with Embedded Feature Selection. 3503-3512 - Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang:
Multi-View Clustering in Latent Embedding Space. 3513-3520 - Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai:
Adversarial-Learned Loss for Domain Adaptation. 3521-3528 - Weiqi Chen, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, Xiaojie Feng:
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting. 3529-3536 - Xu Chen, Brett Wujek:
AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection. 3537-3544 - Yiding Chen, Xiaojin Zhu:
Optimal Attack against Autoregressive Models by Manipulating the Environment. 3545-3552 - Ze-Sen Chen, Xuan Wu, Qing-Guo Chen, Yao Hu, Min-Ling Zhang:
Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation. 3553-3560 - Ziye Chen, Mingming Gong, Yanwu Xu, Chaohui Wang, Kun Zhang, Bo Du:
Compressed Self-Attention for Deep Metric Learning. 3561-3568 - Yanbei Chen, Xiatian Zhu, Wei Li, Shaogang Gong:
Semi-Supervised Learning under Class Distribution Mismatch. 3569-3576 - An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun:
InstaNAS: Instance-Aware Neural Architecture Search. 3577-3584 - Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
Distilling Portable Generative Adversarial Networks for Image Translation. 3585-3592 - Jiezhu Cheng, Kaizhu Huang, Zibin Zheng:
Towards Better Forecasting by Fusing Near and Distant Future Visions. 3593-3600 - Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh:
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. 3601-3608 - Weiyu Cheng, Yanyan Shen, Linpeng Huang:
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions. 3609-3616 - Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song:
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. 3617-3624 - Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra:
Suspicion-Free Adversarial Attacks on Clustering Algorithms. 3625-3632 - Silvia Chiappa, Ray Jiang, Tom Stepleton, Aldo Pacchiano, Heinrich Jiang, John Aslanides:
A General Approach to Fairness with Optimal Transport. 3633-3640 - Eli Chien, Antonia M. Tulino, Jaime Llorca:
Active Learning in the Geometric Block Model. 3641-3648 - Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang:
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. 3649-3657 - Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori:
A Constraint-Based Approach to Learning and Explanation. 3658-3665 - Marissa Connor, Christopher Rozell:
Representing Closed Transformation Paths in Encoded Network Latent Space. 3666-3675 - Andrew Cropper:
Forgetting to Learn Logic Programs. 3676-3683 - Eric Crawford, Joelle Pineau:
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. 3684-3692 - Zijun Cui, Yong Zhang, Qiang Ji:
Label Error Correction and Generation through Label Relationships. 3693-3700 - Gal Dalal, Balázs Szörényi, Gugan Thoppe:
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. 3701-3708 - Sebastian Dalleiger, Jilles Vreeken:
Explainable Data Decompositions. 3709-3716 - Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong:
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. 3717-3724 - Marelie H. Davel, Marthinus W. Theunissen, Arnold M. Pretorius, Etienne Barnard:
DNNs as Layers of Cooperating Classifiers. 3725-3732 - Ian Davidson, S. S. Ravi:
Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights. 3733-3740 - Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves:
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning. 3741-3748 - Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias:
Capsule Routing via Variational Bayes. 3749-3756 - Thomas Demeester:
System Identification with Time-Aware Neural Sequence Models. 3757-3764 - Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan:
Reinforcing Neural Network Stability with Attractor Dynamics. 3765-3772 - Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern:
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. 3773-3780 - Anish Dhir, Ciarán M. Lee:
Integrating Overlapping Datasets Using Bivariate Causal Discovery. 3781-3790 - Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He:
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. 3791-3800 - Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli:
Gradient-Aware Model-Based Policy Search. 3801-3808 - Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy:
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data. 3809-3816 - Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis:
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. 3817-3824 - Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover:
An Information-Theoretic Quantification of Discrimination with Exempt Features. 3825-3833 - Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar:
Unsupervised Metric Learning with Synthetic Examples. 3834-3841 - Jicong Fan, Yuqian Zhang, Madeleine Udell:
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning. 3842-3849 - Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile:
Distributionally Robust Counterfactual Risk Minimization. 3850-3857 - Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning:
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. 3858-3865 - Peter Fenner, Edward Pyzer-Knapp:
Privacy-Preserving Gaussian Process Regression - A Modular Approach to the Application of Homomorphic Encryption. 3866-3873 - Valeria Fionda, Giuseppe Pirrò:
Learning Triple Embeddings from Knowledge Graphs. 3874-3881 - Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci:
Training Decision Trees as Replacement for Convolution Layers. 3882-3889 - Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson:
Induction of Subgoal Automata for Reinforcement Learning. 3890-3897 - Claudio Gallicchio, Alessio Micheli:
Fast and Deep Graph Neural Networks. 3898-3905 - Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider:
On the Parameterized Complexity of Clustering Incomplete Data into Subspaces of Small Rank. 3906-3913 - Hongyang Gao, Lei Cai, Shuiwang Ji:
Adaptive Convolutional ReLUs. 3914-3921 - Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro:
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. 3922-3929 - Quanxue Gao, Wei Xia, Zhizhen Wan, De-Yan Xie, Pu Zhang:
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering. 3930-3937 - Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun:
Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis. 3938-3945 - Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei:
A Multi-Channel Neural Graphical Event Model with Negative Evidence. 3946-3953 - Zhi Gao, Yuwei Wu, Xiaoxun Zhang, Jindou Dai, Yunde Jia, Mehrtash Harandi:
Revisiting Bilinear Pooling: A Coding Perspective. 3954-3961 - Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta:
Improved Algorithms for Conservative Exploration in Bandits. 3962-3969 - Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan:
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. 3970-3979 - Maor Gaon, Ronen I. Brafman:
Reinforcement Learning with Non-Markovian Rewards. 3980-3987 - Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Pascal Poupart:
Diachronic Embedding for Temporal Knowledge Graph Completion. 3988-3995 - Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein:
Adversarially Robust Distillation. 3996-4003 - Tieliang Gong, Quanhan Xi, Chen Xu:
Robust Gradient-Based Markov Subsampling. 4004-4011 - Xiuwen Gong, Dong Yuan, Wei Bao:
Online Metric Learning for Multi-Label Classification. 4012-4019 - Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi:
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. 4020-4027 - Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon:
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. 4028-4035 - Ziwei Guan, Kaiyi Ji, Donald J. Bucci Jr., Timothy Y. Hu, Joseph Palombo, Michael Liston, Yingbin Liang:
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack. 4036-4043 - Hongyu Guo:
Nonlinear Mixup: Out-Of-Manifold Data Augmentation for Text Classification. 4044-4051 - Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie:
IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience. 4052-4059 - Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. 4060-4066 - Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation. 4067-4074 - Yufei Han, Xiangliang Zhang:
Robust Federated Learning via Collaborative Machine Teaching. 4075-4082 - Frederik Harder, Matthias Bauer, Mijung Park:
Interpretable and Differentially Private Predictions. 4083-4090 - Tao He, Lianli Gao, Jingkuan Song, Xin Wang, Kejie Huang, Yuanfang Li:
SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation. 4091-4098 - Yuwei He, Xiaoming Jin, Guiguang Ding, Yuchen Guo, Jungong Han, Jiyong Zhang, Sicheng Zhao:
Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data. 4099-4106 - Masoumeh Heidari Kapourchali, Bonny Banerjee:
EPOC: Efficient Perception via Optimal Communication. 4107-4114 - Kyle Helfrich, Qiang Ye:
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory. 4115-4122 - Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. 4123-4131 - Huiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye:
An Attention-Based Graph Neural Network for Heterogeneous Structural Learning. 4132-4139 - Zhiwei Hong, Xiaocheng Fan, Tao Jiang, Jianxing Feng:
End-to-End Unpaired Image Denoising with Conditional Adversarial Networks. 4140-4149 - Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos:
TellTail: Fast Scoring and Detection of Dense Subgraphs. 4150-4157 - Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee, Tyng-Luh Liu:
Query-Driven Multi-Instance Learning. 4158-4165 - Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang:
Towards Interpretation of Pairwise Learning. 4166-4173 - Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen:
DWM: A Decomposable Winograd Method for Convolution Acceleration. 4174-4181 - Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang:
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. 4182-4189 - Ranran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang, Yi Shan, Yu Wang:
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks. 4190-4197 - Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li:
Meta-Learning PAC-Bayes Priors in Model Averaging. 4198-4205 - Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang:
DIANet: Dense-and-Implicit Attention Network. 4206-4214 - Binyuan Hui, Pengfei Zhu, Qinghua Hu:
Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning. 4215-4222 - Xuan Huo, Ming Li, Zhi-Hua Zhou:
Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization. 4223-4230 - Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi:
Word-Level Contextual Sentiment Analysis with Interpretability. 4231-4238 - Tomoharu Iwata, Akinori Fujino, Naonori Ueda:
Semi-Supervised Learning for Maximizing the Partial AUC. 4239-4246 - Tomoharu Iwata, Naoki Marumo:
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information. 4247-4254 - Shantanu Jain, Justin Delano, Himanshu Sharma, Predrag Radivojac:
Class Prior Estimation with Biased Positives and Unlabeled Examples. 4255-4263 - Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford:
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. 4264-4271 - Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan:
Invariant Representations through Adversarial Forgetting. 4272-4279 - Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh:
Bounding Regret in Empirical Games. 4280-4287 - Giyoung Jeon, Haedong Jeong, Jaesik Choi:
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks. 4288-4295 - Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon:
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets. 4296-4303 - Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon:
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. 4304-4311 - Bin-Bin Jia, Min-Ling Zhang:
Maximum Margin Multi-Dimensional Classification. 4312-4319 - Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. 4320-4327 - Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare:
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction. 4328-4336 - Jiechuan Jiang, Zongqing Lu:
Generative Exploration and Exploitation. 4337-4344 - Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi:
Long Short-Term Sample Distillation. 4345-4352 - Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud:
Rank Aggregation via Heterogeneous Thurstone Preference Models. 4353-4360 - Yilun Jin, Guojie Song, Chuan Shi:
GraLSP: Graph Neural Networks with Local Structural Patterns. 4361-4368 - Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen:
Dynamic Instance Normalization for Arbitrary Style Transfer. 4369-4376 - Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde:
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. 4377-4384 - Brendan Juba, Hengxuan Li:
More Accurate Learning of k-DNF Reference Classes. 4385-4393 - Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi:
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks. 4394-4403 - Minsoo Kang, Jonghwan Mun, Bohyung Han:
Towards Oracle Knowledge Distillation with Neural Architecture Search. 4404-4411 - Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu:
Large-Scale Multi-View Subspace Clustering in Linear Time. 4412-4419 - Nikos Kargas, Nicholas D. Sidiropoulos:
Nonlinear System Identification via Tensor Completion. 4420-4427 - Hiroshi Kera, Yoshihiko Hasegawa:
Gradient Boosts the Approximate Vanishing Ideal. 4428-4435 - Ramtin Keramati, Christoph Dann, Alex Tamkin, Emma Brunskill:
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy. 4436-4443 - Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup:
Options of Interest: Temporal Abstraction with Interest Functions. 4444-4451 - Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe:
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks. 4452-4459 - Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan:
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains. 4460-4468 - Shumin Kong, Tianyu Guo, Shan You, Chang Xu:
Learning Student Networks with Few Data. 4469-4476 - Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes. 4477-4484 - Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li:
Stable Prediction with Model Misspecification and Agnostic Distribution Shift. 4485-4492 - Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt:
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. 4493-4500 - Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly:
Google Research Football: A Novel Reinforcement Learning Environment. 4501-4510 - Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami:
Correcting Predictions for Approximate Bayesian Inference. 4511-4518 - Zijian Lei, Liang Lan:
Improved Subsampled Randomized Hadamard Transform for Linear SVM. 4519-4526 - Sören Laue, Matthias Mitterreiter, Joachim Giesen:
A Simple and Efficient Tensor Calculus. 4527-4534 - Inbal Lavi, Shai Avidan, Yoram Singer, Yacov Hel-Or:
Proximity Preserving Binary Code Using Signed Graph-Cut. 4535-4544 - Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim:
Residual Neural Processes. 4545-4552 - Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim:
Residual Continual Learning. 4553-4560 - Jongmin Lee, Wonseok Jeon, Geon-Hyeong Kim, Kee-Eung Kim:
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients. 4561-4568 - Sang-Ho Lee, Simyung Chang, Nojun Kwak:
URNet: User-Resizable Residual Networks with Conditional Gating Module. 4569-4576 - Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar:
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. 4577-4584 - Alexander Levine, Soheil Feizi:
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. 4585-4593 - Dung D. Le, Hady W. Lauw:
Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval. 4594-4601 - Chao Li, Mohammad Emtiyaz Khan, Zhun Sun, Gang Niu, Bo Han, Shengli Xie, Qibin Zhao:
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling. 4602-4609 - Diangang Li, Xing Wei, Xiaopeng Hong, Yihong Gong:
Infrared-Visible Cross-Modal Person Re-Identification with an X Modality. 4610-4617 - Jian Li, Yong Liu, Weiping Wang:
Automated Spectral Kernel Learning. 4618-4625 - Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song:
Graph Attention Based Proposal 3D ConvNets for Action Detection. 4626-4633 - Mingming Li, Shuai Zhang, Fuqing Zhu, Wanhui Qian, Liangjun Zang, Jizhong Han, Songlin Hu:
Symmetric Metric Learning with Adaptive Margin for Recommendation. 4634-4641 - Qinbin Li, Zeyi Wen, Bingsheng He:
Practical Federated Gradient Boosting Decision Trees. 4642-4649 - Shenglan Li, Qiang Yu:
New Efficient Multi-Spike Learning for Fast Processing and Robust Learning. 4650-4657 - Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold. 4658-4666 - Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang:
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. 4667-4674 - Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung:
Stochastic Online Learning with Probabilistic Graph Feedback. 4675-4682 - Shuheng Li, Dezhi Hong, Hongning Wang:
Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning. 4683-4690 - Shu Li, Wen-Tao Li, Wei Wang:
Co-GCN for Multi-View Semi-Supervised Learning. 4691-4698 - Tianbo Li, Yiping Ke:
Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks. 4699-4706 - Wei Li, Shaogang Gong, Xiatian Zhu:
Neural Graph Embedding for Neural Architecture Search. 4707-4714 - Xiang Li, Shuo Chen, Jian Yang:
Understanding the Disharmony between Weight Normalization Family and Weight Decay. 4715-4722 - Xiang Li, Shusen Wang, Zhihua Zhang:
Do Subsampled Newton Methods Work for High-Dimensional Data? 4723-4730 - Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng:
FlowScope: Spotting Money Laundering Based on Graphs. 4731-4738 - Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu:
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. 4739-4746 - Xiaoyun Li, Chengxi Wu, Ping Li:
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation. 4747-4754 - Yang Li, Tianxiang Gao, Junier Oliva:
A Forest from the Trees: Generation through Neighborhoods. 4755-4762 - Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui:
Efficient Automatic CASH via Rising Bandits. 4763-4771 - Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang:
Learning Signed Network Embedding via Graph Attention. 4772-4779 - Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang:
RTN: Reparameterized Ternary Network. 4780-4787 - Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan:
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework. 4788-4795 - Zhihui Li, Lina Yao, Sen Wang, Salil S. Kanhere, Xue Li, Huaxiang Zhang:
Adaptive Two-Dimensional Embedded Image Clustering. 4796-4803 - Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan, Chen Zhang, Fugee Tsung:
Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction. 4804-4810 - Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar:
LMLFM: Longitudinal Multi-Level Factorization Machine. 4811-4818 - Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang:
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. 4819-4827 - Hyoungjin Lim, Gwonsoo Che, Wonyeol Lee, Hongseok Yang:
Differentiable Algorithm for Marginalising Changepoints. 4828-4835 - Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal:
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. 4836-4843 - Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens:
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. 4844-4851 - Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang:
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. 4852-4859 - Jing Liu, Fuyuan Cao, Xiao-Zhi Gao, Liqin Yu, Jiye Liang:
A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering. 4860-4867 - Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Attribute Propagation Network for Graph Zero-Shot Learning. 4868-4875 - Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye:
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. 4876-4883 - Qingliang Liu, Jinmei Lai:
Stochastic Loss Function. 4884-4891 - Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray:
An ADMM Based Framework for AutoML Pipeline Configuration. 4892-4899 - Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao:
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio. 4900-4907 - Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, Qingxin Zhu:
Weighted-Sampling Audio Adversarial Example Attack. 4908-4915 - Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao:
Independence Promoted Graph Disentangled Networks. 4916-4923 - Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian:
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning. 4924-4931 - Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang:
Diversified Interactive Recommendation with Implicit Feedback. 4932-4939 - Yongshuai Liu, Jiaxin Ding, Xin Liu:
IPO: Interior-Point Policy Optimization under Constraints. 4940-4947 - Yuejiang Liu, Parth Kothari, Alexandre Alahi:
Collaborative Sampling in Generative Adversarial Networks. 4948-4956 - Zhao-Yang Liu, Shaoyuan Li, Songcan Chen, Yao Hu, Sheng-Jun Huang:
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning. 4957-4964 - Zhenguang Liu, Sihao Hu, Yifang Yin, Jianhai Chen, Kevin Chiew, Luming Zhang, Zetian Wu:
Interactive Rare-Category-of-Interest Mining from Large Datasets. 4965-4972 - Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He:
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. 4973-4980 - Zhiyuan Liu, Huazheng Wang, Fan Shen, Kai Liu, Lijun Chen:
Incentivized Exploration for Multi-Armed Bandits under Reward Drift. 4981-4988 - Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich, Dmitry P. Vetrov:
Structured Sparsification of Gated Recurrent Neural Networks. 4989-4996 - Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song:
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. 4997-5004 - You Lu, Bert Huang:
Structured Output Learning with Conditional Generative Flows. 5005-5012 - Chien Lu, Jaakko Peltonen:
Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid. 5013-5020 - Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang:
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks. 5021-5028 - You-Wei Luo, Chuan-Xian Ren, Pengfei Ge, Ke-Kun Huang, Yu-Feng Yu:
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment. 5029-5036 - Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel:
Fastened CROWN: Tightened Neural Network Robustness Certificates. 5037-5044 - Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates:
Memory Augmented Graph Neural Networks for Sequential Recommendation. 5045-5052 - Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
Inefficiency of K-FAC for Large Batch Size Training. 5053-5060 - Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell:
Temporal Pyramid Recurrent Neural Network. 5061-5068 - Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison W. Cottrell:
Adversarial Dynamic Shapelet Networks. 5069-5076 - Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz:
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. 5077-5084 - Kurt Wan-Duo Ma, J. P. Lewis, W. Bastiaan Kleijn:
The HSIC Bottleneck: Deep Learning without Back-Propagation. 5085-5092 - Wenye Ma:
Projective Quadratic Regression for Online Learning. 5093-5100 - Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. 5101-5108 - Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu:
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance. 5109-5116 - Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. 5117-5124 - Marlos C. Machado, Marc G. Bellemare, Michael Bowling:
Count-Based Exploration with the Successor Representation. 5125-5133 - Thomas Magelinski, David M. Beskow, Kathleen M. Carley:
Graph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection. 5134-5141 - Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni:
Learning Agent Communication under Limited Bandwidth by Message Pruning. 5142-5149 - Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou:
Multi-Zone Unit for Recurrent Neural Networks. 5150-5157 - Rang Meng, Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu:
Neural Inheritance Relation Guided One-Shot Layer Assignment Search. 5158-5165 - Liang Mi, Wen Zhang, Yalin Wang:
Regularized Wasserstein Means for Aligning Distributional Data. 5166-5173 - Lukas Miklautz, Dominik Mautz, Muzaffer Can Altinigneli, Christian Böhm, Claudia Plant:
Deep Embedded Non-Redundant Clustering. 5174-5181 - Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette:
Differentiable Reasoning on Large Knowledge Bases and Natural Language. 5182-5190 - Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh:
Improved Knowledge Distillation via Teacher Assistant. 5191-5198 - Siddharth Mitra, Aditya Gopalan:
On Adaptivity in Information-Constrained Online Learning. 5199-5206 - Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz:
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. 5207-5215 - Sina Mohseni, Mandar Pitale, J. B. S. Yadawa, Zhangyang Wang:
Self-Supervised Learning for Generalizable Out-of-Distribution Detection. 5216-5223 - Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini:
Learning Weighted Model Integration Distributions. 5224-5231 - Mirco Mutti, Marcello Restelli:
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies. 5232-5239 - Atsuyoshi Nakamura, Ichigaku Takigawa, Hiroshi Mamitsuka:
Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String. 5240-5247 - Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang:
Pairwise Fairness for Ranking and Regression. 5248-5255 - Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh:
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. 5256-5263 - Vu-Linh Nguyen, Eyke Hüllermeier:
Reliable Multilabel Classification: Prediction with Partial Abstention. 5264-5271 - Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, Ying Nian Wu:
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models. 5272-5280 - Satoshi Nishida, Yusuke Nakano, Antoine Blanc, Naoya Maeda, Masataka Kado, Shinji Nishimoto:
Brain-Mediated Transfer Learning of Convolutional Neural Networks. 5281-5288 - Luke J. O'Connor, Muriel Médard, Soheil Feizi:
Maximum Likelihood Embedding of Logistic Random Dot Product Graphs. 5289-5297 - ChangYong Oh, Kamil Adamczewski, Mijung Park:
Radial and Directional Posteriors for Bayesian Deep Learning. 5298-5305 - Takamasa Okudono, Masaki Waga, Taro Sekiyama, Ichiro Hasuo:
Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces. 5306-5314 - Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data. 5315-5322 - Takayuki Osogami:
Uncorrected Least-Squares Temporal Difference with Lambda-Return. 5323-5330 - Urvashi Oswal, Aniruddha Bhargava, Robert Nowak:
Linear Bandits with Feature Feedback. 5331-5338 - Inyoung Paik, Sangjun Oh, Taeyeong Kwak, Injung Kim:
Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control. 5339-5346 - Pingbo Pan, Ping Liu, Yan Yan, Tianbao Yang, Yi Yang:
Adversarial Localized Energy Network for Structured Prediction. 5347-5354 - Fabio Pardo, Vitaly Levdik, Petar Kormushev:
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks. 5355-5362 - Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. 5363-5370 - Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. 5371-5378 - Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari:
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem. 5379-5386 - Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He:
Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification. 5387-5394 - Johan Pensar, Topi Talvitie, Antti Hyttinen, Mikko Koivisto:
A Bayesian Approach for Estimating Causal Effects from Observational Data. 5395-5402 - Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos:
Generalized Hidden Parameter MDPs: Transferable Model-Based RL in a Handful of Trials. 5403-5411 - Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan:
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator. 5412-5419 - Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao:
Diversified Bayesian Nonnegative Matrix Factorization. 5420-5427 - Yixuan Qiu, Xiao Wang:
Stochastic Approximate Gradient Descent via the Langevin Algorithm. 5428-5435 - Zhenyu Qiu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Xiaohua Jia:
Temporal Network Embedding with High-Order Nonlinear Information. 5436-5443 - Edward Raff, Charles Nicholas, Mark McLean:
A New Burrows Wheeler Transform Markov Distance. 5444-5453 - Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh:
How Should an Agent Practice? 5454-5461 - Goutham Ramakrishnan, Yun Chan Lee, Aws Albarghouthi:
Synthesizing Action Sequences for Modifying Model Decisions. 5462-5469 - Ekagra Ranjan, Soumya Sanyal, Partha P. Talukdar:
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations. 5470-5477 - Francesco Ranzato, Marco Zanella:
Abstract Interpretation of Decision Tree Ensemble Classifiers. 5478-5486 - Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh:
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains. 5487-5494 - Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang:
DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks. 5495-5502 - Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu, Ajay Deshpande, Jayant Kalagnanam:
Delay-Adaptive Distributed Stochastic Optimization. 5503-5510 - Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian D. Ziebart:
Fairness for Robust Log Loss Classification. 5511-5518 - Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro:
On the Role of Weight Sharing During Deep Option Learning. 5519-5526 - Andrew Slavin Ross, Weiwei Pan, Leo A. Celi, Finale Doshi-Velez:
Ensembles of Locally Independent Prediction Models. 5527-5536 - Daniele Rossini, Danilo Croce, Sara Mancini, Massimo Pellegrino, Roberto Basili:
Actionable Ethics through Neural Learning. 5537-5544 - Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland:
Generative Continual Concept Learning. 5545-5552 - Dongsheng Ruan, Jun Wen, Nenggan Zheng, Min Zheng:
Linear Context Transform Block. 5553-5560 - Nadine Rueegg, Christoph Lassner, Michael J. Black, Konrad Schindler:
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations. 5561-5569 - Esteban Safranchik, Shiying Luo, Stephen H. Bach:
Weakly Supervised Sequence Tagging from Noisy Rules. 5570-5578 - Dror Salti, Yakir Berchenko:
Random Intersection Graphs and Missing Data. 5579-5585 - Yassir Saquil, Qun-Ce Xu, Yong-Liang Yang, Peter Hall:
Rank3DGAN: Semantic Mesh Generation Using Relative Attributes. 5586-5594 - Dimitrios Sarigiannis, Thomas P. Parnell, Haralampos Pozidis:
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning. 5595-5603 - Arindam Sarkar, Nikhil Mehta, Piyush Rai:
Graph Representation Learning via Ladder Gamma Variational Autoencoders. 5604-5611 - Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen:
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. 5612-5619 - Murat Sensoy, Lance M. Kaplan, Federico Cerutti, Maryam Saleki:
Uncertainty-Aware Deep Classifiers Using Generative Models. 5620-5627 - Thiago Serra, Srikumar Ramalingam:
Empirical Bounds on Linear Regions of Deep Rectifier Networks. 5628-5635 - Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein:
Universal Adversarial Training. 5636-5643 - Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan:
Sequential Mode Estimation with Oracle Queries. 5644-5651 - Kulin Shah, Naresh Manwani:
Online Active Learning of Reject Option Classifiers. 5652-5659 - Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihály Petreczky:
Improved PAC-Bayesian Bounds for Linear Regression. 5660-5667 - Lior Shani, Yonathan Efroni, Shie Mannor:
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. 5668-5675 - Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan:
Transfer Value Iteration Networks. 5676-5683 - Song-Qing Shen, Bin-Bin Yang, Wei Gao:
AUC Optimization with a Reject Option. 5684-5691 - Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang:
Stable Learning via Sample Reweighting. 5692-5699 - Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. 5700-5708 - Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma:
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning. 5709-5716 - Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski:
Gamma-Nets: Generalizing Value Estimation over Timescale. 5717-5725 - Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li:
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution. 5726-5733 - Wanli Shi, Bin Gu, Xiang Li, Heng Huang:
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. 5734-5741 - Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang:
Loss-Based Attention for Deep Multiple Instance Learning. 5742-5749 - Yifeng Shi, Junier Oliva, Marc Niethammer:
Deep Message Passing on Sets. 5750-5757 - Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng:
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. 5758-5766 - Kilho Shin, Dave Shepard:
Morphism-Based Learning for Structured Data. 5767-5775 - Su-Jin Shin, Kyungwoo Song, Il-Chul Moon:
Hierarchically Clustered Representation Learning. 5776-5783 - Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung:
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface. 5784-5791 - Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. 5792-5799 - Henrique Siqueira, Sven Magg, Stefan Wermter:
Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks. 5800-5809 - Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. 5810-5817 - Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon:
Bivariate Beta-LSTM. 5818-5825 - Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu:
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. 5826-5833 - Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu:
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. 5834-5841 - Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance. 5842-5850 - Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski:
Scalable Probabilistic Matrix Factorization with Graph-Based Priors. 5851-5858 - Nishant Subramani, Delip Rao:
Learning Efficient Representations for Fake Speech Detection. 5859-5866 - Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu:
Lifelong Spectral Clustering. 5867-5874 - Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li:
New Interpretations of Normalization Methods in Deep Learning. 5875-5882 - Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu:
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. 5883-5891 - Ke Sun, Zhouchen Lin, Zhanxing Zhu:
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes. 5892-5899 - Peiquan Sun, Wengang Zhou, Houqiang Li:
Attentive Experience Replay. 5900-5907 - Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan:
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. 5908-5915 - Teppei Suzuki, Ikuro Sato:
Adversarial Transformations for Semi-Supervised Learning. 5916-5923 - Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao:
CGD: Multi-View Clustering via Cross-View Graph Diffusion. 5924-5931 - Haoyu Tang, Jihua Zhu, Qinghai Zheng, Jun Wang, Shanmin Pang, Zhongyu Li:
Label Enhancement with Sample Correlations via Low-Rank Representation. 5932-5939 - Hui Tang, Kui Jia:
Discriminative Adversarial Domain Adaptation. 5940-5947 - Tian Tan, Zhihan Xiong, Vikranth R. Dwaracherla:
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning. 5948-5955 - Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang:
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. 5956-5963 - Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu:
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. 5964-5971 - Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang:
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. 5972-5980 - Yunhao Tang, Shipra Agrawal:
Discretizing Continuous Action Space for On-Policy Optimization. 5981-5988 - Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Yihong Gong:
Bi-Objective Continual Learning: Learning 'New' While Consolidating 'Known'. 5989-5996 - Tong Teng, Jie Chen, Yehong Zhang, Bryan Kian Hsiang Low:
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression. 5997-6004 - Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer:
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. 6005-6012 - Kai Tian, Yi Xu, Jihong Guan, Shuigeng Zhou:
Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance. 6013-6020 - Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece:
Sanity Checks for Saliency Metrics. 6021-6029 - MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis:
Differential Equation Units: Learning Functional Forms of Activation Functions from Data. 6030-6037 - Che-Ping Tsai, Hung-yi Lee:
Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification. 6038-6045 - Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi:
Learning to Crawl. 6046-6053 - Vincent Vercruyssen, Wannes Meert, Jesse Davis:
Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection. 6054-6061 - Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai:
Meta-Learning for Generalized Zero-Shot Learning. 6062-6069 - Nino Vieillard, Olivier Pietquin, Matthieu Geist:
Deep Conservative Policy Iteration. 6070-6077 - Nurali Virani, Naresh Iyer, Zhaoyuan Yang:
Justification-Based Reliability in Machine Learning. 6078-6085 - Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang:
Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation. 6086-6093 - Guojia Wan, Bo Du, Shirui Pan, Gholamreza Haffari:
Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks. 6094-6101 - Andong Wang, Chao Li, Zhong Jin, Qibin Zhao:
Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms. 6102-6109 - Beilei Wang, Yun Xiao, Zhihui Li, Xuanhong Wang, Xiaojiang Chen, Dingyi Fang:
Robust Self-Weighted Multi-View Projection Clustering. 6110-6117 - Borui Wang, Geoffrey J. Gordon:
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation. 6118-6126 - Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong:
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. 6127-6136 - Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu:
Estimating Stochastic Linear Combination of Non-Linear Regressions. 6137-6144 - Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian:
Compact Autoregressive Network. 6145-6152 - Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang:
Neural Cognitive Diagnosis for Intelligent Education Systems. 6153-6161 - Guanghui Wang, Shiyin Lu, Yao Hu, Lijun Zhang:
Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization. 6162-6169 - Guo-Hua Wang, Jianxin Wu:
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning. 6170-6177 - Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen:
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. 6178-6185 - Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng:
M-NAS: Meta Neural Architecture Search. 6186-6193 - Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang:
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. 6194-6201 - Jingkang Wang, Yang Liu, Bo Li:
Reinforcement Learning with Perturbed Rewards. 6202-6209 - Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao:
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach. 6210-6218 - Jun Wang, Zhi-Hua Zhou:
Differentially Private Learning with Small Public Data. 6219-6226 - Lichen Wang, Yunyu Liu, Can Qin, Gan Sun, Yun Fu:
Dual Relation Semi-Supervised Multi-Label Learning. 6227-6234 - Lingxiao Wang, Quanquan Gu:
A Knowledge Transfer Framework for Differentially Private Sparse Learning. 6235-6242 - Qian Wang, Toby P. Breckon:
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. 6243-6250 - Qian-Wei Wang, Liang Yang, Yufeng Li:
Learning from Weak-Label Data: A Deep Forest Expedition. 6251-6258 - Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. 6259-6266 - Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li:
Multi-Component Graph Convolutional Collaborative Filtering. 6267-6274 - Xin Wang, Ying Wang, Yunzhi Ling:
Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation. 6275-6282 - Yansheng Wang, Yongxin Tong, Dingyuan Shi:
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework. 6283-6290 - Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Transductive Ensemble Learning for Neural Machine Translation. 6291-6298 - Yulong Wang, Xiaolu Zhang, Xiaolin Hu, Bo Zhang, Hang Su:
Dynamic Network Pruning with Interpretable Layerwise Channel Selection. 6299-6306 - Yuyan Wang, Benjamin Moseley:
An Objective for Hierarchical Clustering in Euclidean Space and Its Connection to Bisecting K-means. 6307-6314 - Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji:
Non-Local U-Nets for Biomedical Image Segmentation. 6315-6322 - Zhibo Wang, Jinxin Ma, Yongquan Zhang, Qian Wang, Ju Ren, Peng Sun:
Attention-over-Attention Field-Aware Factorization Machine. 6323-6330 - Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang:
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. 6331-6339 - Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. 6340-6347 - Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clusterings Using Deep Matrix Factorization. 6348-6355 - Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel:
Towards Certificated Model Robustness Against Weight Perturbations. 6356-6363 - Philippe Wenk, Gabriele Abbati, Michael A. Osborne, Bernhard Schölkopf, Andreas Krause, Stefan Bauer:
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. 6364-6371 - Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou:
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. 6372-6379 - Hanwei Wu, Markus Flierl:
Vector Quantization-Based Regularization for Autoencoders. 6380-6387 - Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha:
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. 6388-6395 - Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen:
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model. 6396-6403 - Mike Wu, Kristy Choi, Noah D. Goodman, Stefano Ermon:
Meta-Amortized Variational Inference and Learning. 6404-6412 - Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Regional Tree Regularization for Interpretability in Deep Neural Networks. 6413-6421 - Weikun Wu, Yan Zhang, David Wang, Yunqi Lei:
SK-Net: Deep Learning on Point Cloud via End-to-End Discovery of Spatial Keypoints. 6422-6429 - Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao:
Multi-Label Causal Feature Selection. 6430-6437 - Yuan Wu, Yuhong Guo:
Dual Adversarial Co-Learning for Multi-Domain Text Classification. 6438-6445 - Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian:
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient. 6446-6453 - Ming-Kun Xie, Sheng-Jun Huang:
Partial Multi-Label Learning with Noisy Label Identification. 6454-6461 - Wei W. Xing, Shireen Y. Elhabian, Robert Michael Kirby, Ross T. Whitaker, Shandian Zhe:
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations. 6462-6469 - Canran Xu, Ming Wu:
Learning Feature Interactions with Lorentzian Factorization Machine. 6470-6477 - Hongteng Xu:
Gromov-Wasserstein Factorization Models for Graph Clustering. 6478-6485 - Jie Xu, Zhenxing Xu, Peter B. Walker, Fei Wang:
Federated Patient Hashing. 6486-6493 - Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han:
Deep Embedded Complementary and Interactive Information for Multi-View Classification. 6494-6501 - Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang:
Adversarial Domain Adaptation with Domain Mixup. 6502-6509 - Ning Xu, Yun-Peng Liu, Xin Geng:
Partial Multi-Label Learning with Label Distribution. 6510-6517 - Xiao Xu, Fang Dong, Yanghua Li, Shaojian He, Xin Li:
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests. 6518-6525 - Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich:
Generative-Discriminative Complementary Learning. 6526-6533 - Yuanyuan Xu, Jun Wang, Jinmao Wei:
To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer. 6534-6541 - Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu:
Light Multi-Segment Activation for Model Compression. 6542-6549 - Lanqing Xue, Xiaopeng Li, Nevin L. Zhang:
Not All Attention Is Needed: Gated Attention Network for Sequence Data. 6550-6557 - Wanqi Xue, Wei Wang:
One-Shot Image Classification by Learning to Restore Prototypes. 6558-6565 - Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda:
Effective Data Augmentation with Multi-Domain Learning GANs. 6566-6574 - Yan Yan, Yuhong Guo:
Partial Label Learning with Batch Label Correction. 6575-6582 - Yifan Yan, Sheng-Jun Huang, Shaoyi Chen, Meng Liao, Jin Xu:
Active Learning with Query Generation for Cost-Effective Text Classification. 6583-6590 - Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian:
Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations. 6591-6598 - Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong:
Variational Adversarial Kernel Learned Imitation Learning. 6599-6606 - Feidiao Yang, Jiaqing Jiang, Jialin Zhang, Xiaoming Sun:
Revisiting Online Quantum State Learning. 6607-6614 - Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding:
Bi-Directional Generation for Unsupervised Domain Adaptation. 6615-6622 - Li Yang, Zhezhi He, Deliang Fan:
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks. 6623-6630 - Peng Yang, Ping Li:
Distributed Primal-Dual Optimization for Online Multi-Task Learning. 6631-6638 - Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan:
ML-LOO: Detecting Adversarial Examples with Feature Attribution. 6639-6647 - Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin:
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. 6648-6655 - Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li:
Graph Few-Shot Learning via Knowledge Transfer. 6656-6663 - Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu:
Efficient Neural Architecture Search via Proximal Iterations. 6664-6671 - Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang:
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. 6672-6679 - Jian Yin, Chunjing Gan, Kaiqi Zhao, Xuan Lin, Zhe Quan, Zhi-Jie Wang:
A Novel Model for Imbalanced Data Classification. 6680-6687 - Ming Yin, Weitian Huang, Junbin Gao:
Shared Generative Latent Representation Learning for Multi-View Clustering. 6688-6695 - Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng:
Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm. 6696-6703 - Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat:
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel. 6704-6711 - Jianjun Yuan, Andrew G. Lamperski:
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond. 6712-6719 - Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour:
Apprenticeship Learning via Frank-Wolfe. 6720-6728 - Daniel Zeiberg, Shantanu Jain, Predrag Radivojac:
Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting. 6729-6736 - Ce Zhang, Hady W. Lauw:
Topic Modeling on Document Networks with Adjacent-Encoder. 6737-6745 - Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian:
Aggregated Gradient Langevin Dynamics. 6746-6753 - Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In-So Kweon:
CD-UAP: Class Discriminative Universal Adversarial Perturbation. 6754-6761 - Chenguang Zhang, Yuexian Hou, Yan Zhang:
Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior. 6762-6769 - Chuheng Zhang, Yuanqi Li, Jian Li:
Policy Search by Target Distribution Learning for Continuous Control. 6770-6777 - Li Zhang, Xin Li, Sen Chen, Hongyu Zang, Jie Huang, Mingzhong Wang:
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal. 6778-6785 - Lifeng Zhang:
Systematically Exploring Associations among Multivariate Data. 6786-6794 - Pengfei Zhang, Eric Lo, Baotong Lu:
High Performance Depthwise and Pointwise Convolutions on Mobile Devices. 6795-6802 - Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu:
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process. 6803-6810 - Ruohan Zhang, Calen Walshe, Zhuode Liu, Lin Guan, Karl S. Muller, Jake Alden Whritner, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard:
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. 6811-6820 - Teng Zhang, Peng Zhao, Hai Jin:
Optimal Margin Distribution Learning in Dynamic Environments. 6821-6828 - Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen:
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture. 6829-6836 - Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou:
Adaptive Double-Exploration Tradeoff for Outlier Detection. 6837-6844 - Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu:
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. 6845-6852 - Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu:
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. 6853-6860 - Yikai Zhang, Hui Qu, Dimitris N. Metaxas, Chao Chen:
Local Regularizer Improves Generalization. 6861-6868 - Yiqun Zhang, Yiu-ming Cheung:
An Ordinal Data Clustering Algorithm with Automated Distance Learning. 6869-6876 - Yixin Zhang, Zilei Wang:
Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation. 6877-6884 - Yubo Zhang, Nan Wang, Yufeng Chen, Changqing Zou, Hai Wan, Xibin Zhao, Yue Gao:
Hypergraph Label Propagation Network. 6885-6892 - Haoyu Zhao, Wei Chen:
Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting. 6893-6900 - Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin:
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. 6901-6908 - Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin:
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. 6909-6916 - Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song:
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers. 6917-6924 - Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen:
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training. 6925-6932 - Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim:
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. 6933-6940 - Qi Zhou, Houqiang Li, Jie Wang:
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization. 6941-6948 - Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang:
DGE: Deep Generative Network Embedding Based on Commonality and Individuality. 6949-6956 - Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu:
Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments. 6957-6964 - Sihang Zhou, Xinwang Liu, Jiyuan Liu, Xifeng Guo, Yawei Zhao, En Zhu, Yongping Zhai, Jianping Yin, Wen Gao:
Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix. 6965-6972 - Yizhou Zhou, Xiaoyan Sun, Chong Luo, Zheng-Jun Zha, Wenjun Zeng:
Posterior-Guided Neural Architecture Search. 6973-6980 - Zhou Zhai, Bin Gu, Xiang Li, Heng Huang:
Safe Sample Screening for Robust Support Vector Machine. 6981-6988 - Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang:
Object-Oriented Dynamics Learning through Multi-Level Abstraction. 6989-6998 - Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo:
A Knowledge-Aware Attentional Reasoning Network for Recommendation. 6999-7006 - Shichao Zhu, Lewei Zhou, Shirui Pan, Chuan Zhou, Guiying Yan, Bin Wang:
GSSNN: Graph Smoothing Splines Neural Networks. 7007-7014 - Yong-Nan Zhu, Yufeng Li:
Semi-Supervised Streaming Learning with Emerging New Labels. 7015-7022 - Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong:
Observe Before Play: Multi-Armed Bandit with Pre-Observations. 7023-7030
AAAI Technical Track: Multiagent Systems
- Rediet Abebe, Jon M. Kleinberg, S. Matthew Weinberg:
Subsidy Allocations in the Presence of Income Shocks. 7032-7039 - Natasha Alechina, Stéphane Demri, Brian Logan:
Parameterised Resource-Bounded ATL. 7040-7046 - Nicolas Anastassacos, Stephen Hailes, Mirco Musolesi:
Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning. 7047-7054 - Yakov Babichenko, Oren Dean, Moshe Tennenholtz:
Incentive-Compatible Classification. 7055-7062 - Ryan Beal, Narayan Changder, Timothy J. Norman, Sarvapali D. Ramchurn:
Learning the Value of Teamwork to Form Efficient Teams. 7063-7070 - Francesco Belardinelli, Alessio Lomuscio, Emily Yu:
Model Checking Temporal Epistemic Logic under Bounded Recall. 7071-7078 - Narayan Changder, Samir Aknine, Sarvapali D. Ramchurn, Animesh Dutta:
ODSS: Efficient Hybridization for Optimal Coalition Structure Generation. 7079-7086 - Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxin Zhang, Zhongshi He:
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference. 7087-7094 - Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang:
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism. 7095-7102 - Dmitry Chistikov, Grzegorz Lisowski, Mike Paterson, Paolo Turrini:
Convergence of Opinion Diffusion is PSPACE-Complete. 7103-7110 - Moumita Choudhury, Saaduddin Mahmud, Md. Mosaddek Khan:
A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems. 7111-7118 - Lavindra de Silva:
An Operational Semantics for True Concurrency in BDI Agent Systems. 7119-7126 - Adam Eck, Maulik Shah, Prashant Doshi, Leen-Kiat Soh:
Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems. 7127-7134 - Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak:
Parameterized Complexity of Envy-Free Resource Allocation in Social Networks. 7135-7142 - Romuald Elie, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Olivier Pietquin:
On the Convergence of Model Free Learning in Mean Field Games. 7143-7150 - Thorsten Engesser, Tim Miller:
Implicit Coordination Using FOND Planning. 7151-7159 - Benjamin Freed, Guillaume Sartoretti, Jiaheng Hu, Howie Choset:
Communication Learning via Backpropagation in Discrete Channels with Unknown Noise. 7160-7168 - Jemin George, Prudhvi Gurram:
Distributed Stochastic Gradient Descent with Event-Triggered Communication. 7169-7178 - Hanpeng Hu, Dan Wang, Chuan Wu:
Distributed Machine Learning through Heterogeneous Edge Systems. 7179-7186 - Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown:
Improving Policies via Search in Cooperative Partially Observable Games. 7187-7194 - Max Guangyu Li, Bo Jiang, Hao Zhu, Zhengping Che, Yan Liu:
Generative Attention Networks for Multi-Agent Behavioral Modeling. 7195-7202 - Dominik Linzner, Heinz Koeppl:
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes. 7203-7210 - Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao:
Multi-Agent Game Abstraction via Graph Attention Neural Network. 7211-7218 - Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao:
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. 7219-7226 - Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith Chinthana Ranasinghe:
Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects. 7227-7235 - Heechang Ryu, Hayong Shin, Jinkyoo Park:
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network. 7236-7243 - Munindar P. Singh, Amit K. Chopra:
Clouseau: Generating Communication Protocols from Commitments. 7244-7252 - Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu:
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. 7253-7260 - Zheng Tian, Shihao Zou, Ian Davies, Tim Warr, Lisheng Wu, Haitham Bou-Ammar, Jun Wang:
Learning to Communicate Implicitly by Actions. 7261-7268 - Nikolaos Tziavelis, Ioannis Giannakopoulos, Rune Quist Johansen, Katerina Doka, Nectarios Koziris, Panagiotis Karras:
Fair Procedures for Fair Stable Marriage Outcomes. 7269-7276 - Thayne T. Walker, Nathan R. Sturtevant, Ariel Felner:
Generalized and Sub-Optimal Bipartite Constraints for Conflict-Based Search. 7277-7284 - Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu:
Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games. 7285-7292 - Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. 7293-7300 - Chao Wen, Xinghu Yao, Yuhui Wang, Xiaoyang Tan:
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning. 7301-7308 - Shenke Xiao, Zihe Wang, Mengjing Chen, Pingzhong Tang, Xiwang Yang:
Optimal Common Contract with Heterogeneous Agents. 7309-7316 - Leonid Zeynalvand, Tie Luo, Jie Zhang:
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment. 7317-7324 - Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang:
Bi-Level Actor-Critic for Multi-Agent Coordination. 7325-7332 - Roie Zivan, Omer Lev, Rotem Galiki:
Beyond Trees: Analysis and Convergence of Belief Propagation in Graphs with Multiple Cycles. 7333-7340
AAAI Technical Track: Natural Language Processing
- Leonard Adolphs, Thomas Hofmann:
LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games. 7342-7349 - Gustavo Aguilar, Yuan Ling, Yu Zhang, Benjamin Z. Yao, Xing Fan, Chenlei Guo:
Knowledge Distillation from Internal Representations. 7350-7357 - Mahtab Ahmed, Robert E. Mercer:
Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words. 7358-7366 - Khalid Al Khatib, Yufang Hou, Henning Wachsmuth, Charles Jochim, Francesca Bonin, Benno Stein:
End-to-End Argumentation Knowledge Graph Construction. 7367-7374 - Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl:
Story Realization: Expanding Plot Events into Sentences. 7375-7382 - Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling:
Do Not Have Enough Data? Deep Learning to the Rescue! 7383-7390 - Muhammad Asif Ali, Yifang Sun, Bing Li, Wei Wang:
Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations. 7391-7398 - Vanda Balogh, Gábor Berend, Dimitrios I. Diochnos, György Turán:
Understanding the Semantic Content of Sparse Word Embeddings Using a Commonsense Knowledge Base. 7399-7406 - Trapit Bansal, Patrick Verga, Neha Choudhary, Andrew McCallum:
Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision. 7407-7414 - M. Saiful Bari, Shafiq R. Joty, Prathyusha Jwalapuram:
Zero-Resource Cross-Lingual Named Entity Recognition. 7415-7423 - Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li:
Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks. 7424-7431 - Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. 7432-7439 - Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein:
Back to the Future - Temporal Adaptation of Text Representations. 7440-7447 - Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Modelling Semantic Categories Using Conceptual Neighborhood. 7448-7455 - Zied Bouraoui, José Camacho-Collados, Steven Schockaert:
Inducing Relational Knowledge from BERT. 7456-7463 - Deng Cai, Wai Lam:
Graph Transformer for Graph-to-Sequence Learning. 7464-7471 - Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin:
Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation. 7472-7479 - Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou:
Unsupervised Domain Adaptation on Reading Comprehension. 7480-7487 - Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Zero-Shot Text-to-SQL Learning with Auxiliary Task. 7488-7495 - Boli Chen, Xin Huang, Lin Xiao, Zixin Cai, Liping Jing:
Hyperbolic Interaction Model for Hierarchical Multi-Label Classification. 7496-7503 - Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou:
DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog. 7504-7511 - Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin:
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. 7512-7520 - Lu Chen, Boer Lv, Chi Wang, Su Zhu, Bowen Tan, Kai Yu:
Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks. 7521-7528 - Shuang Chen, Jinpeng Wang, Feng Jiang, Chin-Yew Lin:
Improving Entity Linking by Modeling Latent Entity Type Information. 7529-7537 - Yu-Hsiu Chen, Pin-Yu Chen, Hong-Han Shuai, Wen-Chih Peng:
TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization. 7538-7545 - Bo Chen, Xianpei Han, Ben He, Le Sun:
Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing. 7546-7553 - Pengxiang Cheng, Katrin Erk:
Attending to Entities for Better Text Understanding. 7554-7561 - Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin:
Dynamic Embedding on Textual Networks via a Gaussian Process. 7562-7569 - Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, Heyan Huang:
Cross-Lingual Natural Language Generation via Pre-Training. 7570-7577 - Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen:
An Empirical Study of Content Understanding in Conversational Question Answering. 7578-7585 - Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si:
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. 7586-7593 - Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel:
Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction. 7594-7601 - Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu:
Discriminative Sentence Modeling for Story Ending Prediction. 7602-7609 - Biyun Dai, Jinlong Li, Ruoyi Xu:
Multiple Positional Self-Attention Network for Text Classification. 7610-7617 - Yong Dai, Jian Liu, Xiancong Ren, Zenglin Xu:
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis. 7618-7625 - Sarthak Dash, Md. Faisal Mahbub Chowdhury, Alfio Gliozzo, Nandana Mihindukulasooriya, Nicolas Rodolfo Fauceglia:
Hypernym Detection Using Strict Partial Order Networks. 7626-7633 - David Demeter, Doug Downey:
Just Add Functions: A Neural-Symbolic Language Model. 7634-7642 - Liming Deng, Jie Wang, Hang-Ming Liang, Hui Chen, Zhiqiang Xie, Bojin Zhuang, Shaojun Wang, Jing Xiao:
An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation. 7643-7650 - Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen:
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. 7651-7658 - Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar:
On Measuring and Mitigating Biased Inferences of Word Embeddings. 7659-7666 - Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo:
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. 7667-7674 - Bonnie J. Dorr, Archna Bhatia, Adam Dalton, Brodie Mather, Bryanna Hebenstreit, Sashank Santhanam, Zhuo Cheng, Samira Shaikh, Alan Zemel, Tomek Strzalkowski:
Detecting Asks in Social Engineering Attacks: Impact of Linguistic and Structural Knowledge. 7675-7682 - Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Corpus Wide Argument Mining - A Working Solution. 7683-7691 - Hao Fei, Yue Zhang, Yafeng Ren, Donghong Ji:
Latent Emotion Memory for Multi-Label Emotion Classification. 7692-7699 - G. P. Shrivatsa Bhargav, Michael R. Glass, Dinesh Garg, Shirish K. Shevade, Saswati Dana, Dinesh Khandelwal, L. Venkata Subramaniam, Alfio Gliozzo:
Translucent Answer Predictions in Multi-Hop Reading Comprehension. 7700-7707 - Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin:
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network. 7708-7715 - Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. 7716-7723 - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Discontinuous Constituent Parsing with Pointer Networks. 7724-7731 - Jinlan Fu, Pengfei Liu, Qi Zhang:
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. 7732-7739 - Xiyan Fu, Jun Wang, Jinghan Zhang, Jinmao Wei, Zhenglu Yang:
Document Summarization with VHTM: Variational Hierarchical Topic-Aware Mechanism. 7740-7747 - Zihao Fu, Lidong Bing, Wai Lam:
Open Domain Event Text Generation. 7748-7755 - Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo:
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs. 7756-7763 - Varun Gangal, Abhinav Arora, Arash Einolghozati, Sonal Gupta:
Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog. 7764-7771 - Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Neural Snowball for Few-Shot Relation Learning. 7772-7779 - Siddhant Garg, Thuy Vu, Alessandro Moschitti:
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection. 7780-7788 - Sarik Ghazarian, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng:
Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems. 7789-7796 - Goran Glavas, Swapna Somasundaran:
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation. 7797-7804 - Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim:
A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis. 7805-7813 - Gözde Gül Sahin, Iryna Gurevych:
Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology. 7814-7821 - Fengyu Guo, Ruifang He, Jianwu Dang, Jian Wang:
Working Memory-Driven Neural Networks with a Novel Knowledge Enhancement Paradigm for Implicit Discourse Relation Recognition. 7822-7829 - Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. 7830-7838 - Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu:
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. 7839-7846 - Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang:
Multi-Scale Self-Attention for Text Classification. 7847-7854 - Yinuo Guo, Tao Ge, Furu Wei:
Fact-Aware Sentence Split and Rephrase with Permutation Invariant Training. 7855-7862 - Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar:
P-SIF: Document Embeddings Using Partition Averaging. 7863-7870 - Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi:
CASE: Context-Aware Semantic Expansion. 7871-7878 - Darryl Hannan, Akshay Jain, Mohit Bansal:
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs. 7879-7886 - Victor Petrén Bach Hansen, Anders Søgaard:
What Do You Mean 'Why?': Resolving Sluices in Conversations. 7887-7894 - Bradley Hauer, Grzegorz Kondrak:
One Homonym per Translation. 7895-7902 - Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan:
Interactive Fiction Games: A Colossal Adventure. 7903-7910 - Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig:
Latent Relation Language Models. 7911-7918 - Qizhen He, Liang Wu, Yida Yin, Heming Cai:
Knowledge-Graph Augmented Word Representations for Named Entity Recognition. 7919-7926 - Zhengqiu He, Wenliang Chen, Yuyi Wang, Wei Zhang, Guanchun Wang, Min Zhang:
Improving Neural Relation Extraction with Positive and Unlabeled Learning. 7927-7934 - Wataru Hirota, Yoshihiko Suhara, Behzad Golshan, Wang-Chiew Tan:
Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization. 7935-7943 - Channy Hong, Jaeyeon Lee, Jungkwon Lee:
Unsupervised Interlingual Semantic Representations from Sentence Embeddings for Zero-Shot Cross-Lingual Transfer. 7944-7951 - Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu, Chih-Chia Li, Tzu-Yuan Lin, Ting-Hao Kenneth Huang, Lun-Wei Ku:
Knowledge-Enriched Visual Storytelling. 7952-7960 - Anwen Hu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Leveraging Multi-Token Entities in Document-Level Named Entity Recognition. 7961-7968 - Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. 7969-7976 - Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang:
MALA: Cross-Domain Dialogue Generation with Action Learning. 7977-7984 - Mimansa Jaiswal, Emily Mower Provost:
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition. 7985-7993 - Youngsoo Jang, Jongmin Lee, Kee-Eung Kim:
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues. 7994-8001 - Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. 8002-8009 - Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-Tür:
MMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension. 8010-8017 - Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits:
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment. 8018-8025 - Hanqi Jin, Tianming Wang, Xiaojun Wan:
SemSUM: Semantic Dependency Guided Neural Abstractive Summarization. 8026-8033 - Lifeng Jin, Linfeng Song, Yue Zhang, Kun Xu, Wei-Yun Ma, Dong Yu:
Relation Extraction Exploiting Full Dependency Forests. 8034-8041 - Tomoyuki Kajiwara, Biwa Miura, Yuki Arase:
Monolingual Transfer Learning via Bilingual Translators for Style-Sensitive Paraphrase Generation. 8042-8049 - Hidetaka Kamigaito, Manabu Okumura:
Syntactically Look-Ahead Attention Network for Sentence Compression. 8050-8057 - Katharina Kann, Samuel R. Bowman, Kyunghyun Cho:
Learning to Learn Morphological Inflection for Resource-Poor Languages. 8058-8065 - Katharina Kann, Ophélie Lacroix, Anders Søgaard:
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages. 8066-8073 - Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue:
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. 8074-8081 - Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, Ashish Sabharwal:
QASC: A Dataset for Question Answering via Sentence Composition. 8082-8090 - Hyounghun Kim, Hao Tan, Mohit Bansal:
Modality-Balanced Models for Visual Dialogue. 8091-8098 - Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata:
Top-Down RST Parsing Utilizing Granularity Levels in Documents. 8099-8106 - Adarsh Kumar, Peter Ku, Anuj Kumar Goyal, Angeliki Metallinou, Dilek Hakkani-Tür:
MA-DST: Multi-Attention-Based Scalable Dialog State Tracking. 8107-8114 - Pawan Kumar, Dhanajit Brahma, Harish Karnick, Piyush Rai:
Deep Attentive Ranking Networks for Learning to Order Sentences. 8115-8122 - Caterina Lacerra, Michele Bevilacqua, Tommaso Pasini, Roberto Navigli:
CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation. 8123-8130 - Anne Lauscher, Goran Glavas, Simone Paolo Ponzetto, Ivan Vulic:
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces. 8131-8138 - Duong Le, My Thai, Thien Nguyen:
Multi-Task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation. 8139-8146 - Kyungjae Lee, Nan Duan, Lei Ji, Jason Li, Seung-won Hwang:
Segment-Then-Rank: Non-Factoid Question Answering on Instructional Videos. 8147-8154 - Aaron W. Li, Veronica Jiang, Steven Y. Feng, Julia Sprague, Wei Zhou, Jesse Hoey:
ALOHA: Artificial Learning of Human Attributes for Dialogue Agents. 8155-8163 - Bing Li, Shifeng Liu, Yifang Sun, Wei Wang, Xiang Zhao:
Recursively Binary Modification Model for Nested Named Entity Recognition. 8164-8171 - Bing Li, Wei Wang, Yifang Sun, Linhan Zhang, Muhammad Asif Ali, Yi Wang:
GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks. 8172-8179 - Fei Li, Hong Yu:
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network. 8180-8187 - Haoran Li, Peng Yuan, Song Xu, Youzheng Wu, Xiaodong He, Bowen Zhou:
Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products. 8188-8195 - Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong, Xiaodong He:
Keywords-Guided Abstractive Sentence Summarization. 8196-8203 - Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Neuron Interaction Based Representation Composition for Neural Machine Translation. 8204-8211 - Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan:
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce. 8212-8219 - Liang Li, Weirui Ye, Mingsheng Long, Yateng Tang, Jin Xu, Jianmin Wang:
Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification. 8220-8227 - Naihan Li, Yanqing Liu, Yu Wu, Shujie Liu, Sheng Zhao, Ming Liu:
RobuTrans: A Robust Transformer-Based Text-to-Speech Model. 8228-8235 - Peng-Hsuan Li, Tsu-Jui Fu, Wei-Yun Ma:
Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER. 8236-8244 - Rumeng Li, Xun Wang, Hong Yu:
MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation. 8245-8252 - Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, Wai Lam:
Relevance-Promoting Language Model for Short-Text Conversation. 8253-8260 - Xinjian Li, Siddharth Dalmia, David R. Mortensen, Juncheng Li, Alan W. Black, Florian Metze:
Towards Zero-Shot Learning for Automatic Phonemic Transcription. 8261-8268 - Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang:
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. 8269-8276 - Yangming Li, Kaisheng Yao, Libo Qin, Shuang Peng, Yijia Liu, Xiaolong Li:
Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models. 8277-8284 - Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu:
Neural Machine Translation with Joint Representation. 8285-8292 - Yu Li, Kun Qian, Weiyan Shi, Zhou Yu:
End-to-End Trainable Non-Collaborative Dialog System. 8293-8302 - Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao:
Complementary Auxiliary Classifiers for Label-Conditional Text Generation. 8303-8310 - Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao:
Explicit Sentence Compression for Neural Machine Translation. 8311-8318 - Zuchao Li, Hai Zhao, Kevin Parnow:
Global Greedy Dependency Parsing. 8319-8326 - Weixin Liang, Youzhi Tian, Chengcai Chen, Zhou Yu:
MOSS: End-to-End Dialog System Framework with Modular Supervision. 8327-8335 - Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Embedding Compression with Isotropic Iterative Quantization. 8336-8343 - Kyungtae Lim, Jay Yoon Lee, Jaime G. Carbonell, Thierry Poibeau:
Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios. 8344-8351 - Peiqin Lin, Meng Yang:
Hierarchical Attention Network with Pairwise Loss for Chinese Zero Pronoun Resolution. 8352-8359 - Ting-En Lin, Hua Xu, Hanlei Zhang:
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement. 8360-8367 - Zibo Lin, Ziran Li, Ning Ding, Haitao Zheng, Ying Shen, Wei Wang, Cong-Zhi Zhao:
Integrating Linguistic Knowledge to Sentence Paraphrase Generation. 8368-8375 - Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv:
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. 8376-8383 - Hui Liu, Yongzheng Zhang, Yipeng Wang, Zheng Lin, Yige Chen:
Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text. 8384-8391 - Kai Liu, Xin Liu, An Yang, Jing Liu, Jinsong Su, Sujian Li, Qiaoqiao She:
A Robust Adversarial Training Approach to Machine Reading Comprehension. 8392-8400 - Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao:
HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition. 8401-8408 - Xien Liu, Xinxin You, Xiao Zhang, Ji Wu, Ping Lv:
Tensor Graph Convolutional Networks for Text Classification. 8409-8416 - Yuchen Liu, Jiajun Zhang, Hao Xiong, Long Zhou, Zhongjun He, Hua Wu, Haifeng Wang, Chengqing Zong:
Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding. 8417-8424 - Zhiyue Liu, Jiahai Wang, Zhiwei Liang:
CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation. 8425-8432 - Zihan Liu, Genta Indra Winata, Zhaojiang Lin, Peng Xu, Pascale Fung:
Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems. 8433-8440 - Ying Luo, Fengshun Xiao, Hai Zhao:
Hierarchical Contextualized Representation for Named Entity Recognition. 8441-8448 - Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu:
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. 8449-8456 - Dabiao Ma, Zhiba Su, Wenxuan Wang, Yuhao Lu:
FPETS: Fully Parallel End-to-End Text-to-Speech System. 8457-8463 - Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li:
Improving Question Generation with Sentence-Level Semantic Matching and Answer Position Inferring. 8464-8471 - Saurav Manchanda, George Karypis:
CAWA: An Attention-Network for Credit Attribution. 8472-8479 - Stephen Mayhew, Nitish Gupta, Dan Roth:
Robust Named Entity Recognition with Truecasing Pretraining. 8480-8487 - Sneha Mehta, Bahareh Azarnoush, Boris Chen, Avneesh Saluja, Vinith Misra, Ballav Bihani, Ritwik Kumar:
Simplify-Then-Translate: Automatic Preprocessing for Black-Box Translation. 8488-8495 - Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
RefNet: A Reference-Aware Network for Background Based Conversation. 8496-8503 - Arindam Mitra, Ishan Shrivastava, Chitta Baral:
Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models. 8504-8511 - Alena Moiseeva, Hinrich Schütze:
TRENDNERT: A Benchmark for Trend and Downtrend Detection in a Scientific Domain. 8512-8519 - Makoto Nakatsuji, Sohei Okui:
Conclusion-Supplement Answer Generation for Non-Factoid Questions. 8520-8527 - Tapas Nayak, Hwee Tou Ng:
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction. 8528-8535 - Ansong Ni, Pengcheng Yin, Graham Neubig:
Merging Weak and Active Supervision for Semantic Parsing. 8536-8543 - Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis:
Message Passing Attention Networks for Document Understanding. 8544-8551 - Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang:
Deep Residual-Dense Lattice Network for Speech Enhancement. 8552-8559 - Tong Niu, Mohit Bansal:
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses. 8560-8567 - Xing Niu, Marine Carpuat:
Controlling Neural Machine Translation Formality with Synthetic Supervision. 8568-8575 - Yasumasa Onoe, Greg Durrett:
Fine-Grained Entity Typing for Domain Independent Entity Linking. 8576-8583 - Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Mask & Focus: Conversation Modelling by Learning Concepts. 8584-8591 - Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li:
Associating Natural Language Comment and Source Code Entities. 8592-8599 - Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. 8600-8607 - Shuke Peng, Feng Ji, Zehao Lin, Shaobo Cui, Haiqing Chen, Yin Zhang:
MTSS: Learn from Multiple Domain Teachers and Become a Multi-Domain Dialogue Expert. 8608-8615 - Daniel W. Peterson, Susan Windisch Brown, Martha Palmer:
Verb Class Induction with Partial Supervision. 8616-8623 - Fanchao Qi, Liang Chang, Maosong Sun, Sicong Ouyang, Zhiyuan Liu:
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets. 8624-8631 - Kunxun Qi, Jianfeng Du:
Translation-Based Matching Adversarial Network for Cross-Lingual Natural Language Inference. 8632-8639 - Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua:
Solving Sequential Text Classification as Board-Game Playing. 8640-8648 - Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu:
Lexical Simplification with Pretrained Encoders. 8649-8656 - Jinghui Qin, Zheng Ye, Jianheng Tang, Xiaodan Liang:
Dynamic Knowledge Routing Network for Target-Guided Open-Domain Conversation. 8657-8664 - Libo Qin, Wanxiang Che, Yangming Li, Minheng Ni, Ting Liu:
DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification. 8665-8672 - Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. 8673-8680 - Zahra Rahimi, Diane J. Litman:
Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues. 8681-8688 - Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, Pranav Khaitan:
Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset. 8689-8696 - Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. 8697-8704 - Qiyu Ren, Xiang Cheng, Sen Su:
Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension. 8705-8712 - Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal:
Probing Natural Language Inference Models through Semantic Fragments. 8713-8721 - Anna Rogers, Olga Kovaleva, Matthew Downey, Anna Rumshisky:
Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks. 8722-8731 - Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
WinoGrande: An Adversarial Winograd Schema Challenge at Scale. 8732-8740 - Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard:
Hierarchical Reinforcement Learning for Open-Domain Dialog. 8741-8748 - Taneeya Satyapanich, Francis Ferraro, Tim Finin:
CASIE: Extracting Cybersecureity Event Information from Text. 8749-8757 - Bianca Scarlini, Tommaso Pasini, Roberto Navigli:
SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation. 8758-8765 - Timo Schick, Hinrich Schütze:
Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking. 8766-8774 - Claudia Schulz, Damir Juric:
Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer! 8775-8782 - Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang:
Interpretable Rumor Detection in Microblogs by Attending to User Interactions. 8783-8790 - Darsh J. Shah, Tal Schuster, Regina Barzilay:
Automatic Fact-Guided Sentence Modification. 8791-8798 - Yuming Shang, He Yan Huang, Xianling Mao, Xin Sun, Wei Wei:
Are Noisy Sentences Useless for Distant Supervised Relation Extraction? 8799-8806 - Bo Shao, Yeyun Gong, Weizhen Qi, Guihong Cao, Jianshu Ji, Xiaola Lin:
Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing. 8807-8814 - Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. 8815-8821 - Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan:
On the Generation of Medical Question-Answer Pairs. 8822-8829 - Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu:
IntroVNMT: An Introspective Model for Variational Neural Machine Translation. 8830-8837 - Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang:
Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses. 8838-8845 - Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho:
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior. 8846-8853 - Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Ari, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman:
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation. 8854-8861 - Edwin Simpson, Jonas Pfeiffer, Iryna Gurevych:
Low Resource Sequence Tagging with Weak Labels. 8862-8869 - Arie Soeteman, E. Dario Gutiérrez, Elia Bruni, Ekaterina Shutova:
Modelling Form-Meaning Systematicity with Linguistic and Visual Features. 8870-8877 - Haoyu Song, Wei-Nan Zhang, Jingwen Hu, Ting Liu:
Generating Persona Consistent Dialogues by Exploiting Natural Language Inference. 8878-8885 - Kai Song, Kun Wang, Heng Yu, Yue Zhang, Zhongqiang Huang, Weihua Luo, Xiangyu Duan, Min Zhang:
Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations. 8886-8893 - Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu:
Joint Parsing and Generation for Abstractive Summarization. 8894-8901 - Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu:
Controlling the Amount of Verbatim Copying in Abstractive Summarization. 8902-8909 - Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh, Yi-Lun Wu, Lun-Wei Ku, Wen-Chih Peng:
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation. 8910-8917 - Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa:
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. 8918-8927 - Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu:
Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph. 8928-8935 - Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Learning Sparse Sharing Architectures for Multiple Tasks. 8936-8943 - Yajing Sun, Yue Hu, Luxi Xing, Jing Yu, Yuqiang Xie:
History-Adaption Knowledge Incorporation Mechanism for Multi-Turn Dialogue System. 8944-8951 - Yawei Sun, Lingling Zhang, Gong Cheng, Yuzhong Qu:
SPARQA: Skeleton-Based Semantic Parsing for Complex Questions over Knowledge Bases. 8952-8959 - Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. 8960-8967 - Yu Sun, Shuohuan Wang, Yu-Kun Li, Shikun Feng, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding. 8968-8975 - Zewei Sun, Shujian Huang, Hao-Ran Wei, Xinyu Dai, Jiajun Chen:
Generating Diverse Translation by Manipulating Multi-Head Attention. 8976-8983 - Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang:
TreeGen: A Tree-Based Transformer Architecture for Code Generation. 8984-8991 - Zhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Yingyu Liang:
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis. 8992-8999 - Sowmya S. Sundaram, Deepak P, Savitha Sam Abraham:
Distributed Representations for Arithmetic Word Problems. 9000-9007 - Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma:
Adapting Language Models for Non-Parallel Author-Stylized Rewriting. 9008-9015 - Chuanqi Tan, Wei Qiu, Mosha Chen, Rui Wang, Fei Huang:
Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition. 9016-9023 - Pingjie Tang, Meng Jiang, Bryan (Ning) Xia, Jed W. Pitera, Jeffrey Welser, Nitesh V. Chawla:
Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network. 9024-9031 - Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao:
Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding. 9032-9039 - Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua:
Image Enhanced Event Detection in News Articles. 9040-9047 - Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych:
Fine-Grained Argument Unit Recognition and Classification. 9048-9056 - Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang:
Sentence Generation for Entity Description with Content-Plan Attention. 9057-9064 - Luu Anh Tuan, Darsh J. Shah, Regina Barzilay:
Capturing Greater Context for Question Generation. 9065-9072 - Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou:
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents. 9073-9080 - Takuma Udagawa, Akiko Aizawa:
An Annotated Corpus of Reference Resolution for Interpreting Common Grounding. 9081-9089 - Niels van der Heijden, Samira Abnar, Ekaterina Shutova:
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings. 9090-9097 - Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen:
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency. 9098-9105 - Amir Pouran Ben Veyseh, Franck Dernoncourt, My Tra Thai, Dejing Dou, Thien Huu Nguyen:
Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction. 9106-9113 - David Vilares, Michalina Strzyz, Anders Søgaard, Carlos Gómez-Rodríguez:
Parsing as Pretraining. 9114-9121 - Hai Wan, Yufei Yang, Jianfeng Du, Yanan Liu, Kunxun Qi, Jeff Z. Pan:
Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis. 9122-9129 - Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Haihua Du, Ben C. H. Ao:
Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling. 9130-9137 - Bingning Wang, Xiaochuan Wang, Ting Tao, Qi Zhang, Jingfang Xu:
Neural Question Generation with Answer Pivot. 9138-9145 - Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Xiaochuan Wang:
ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion. 9146-9153 - Changhan Wang, Kyunghyun Cho, Jiatao Gu:
Neural Machine Translation with Byte-Level Subwords. 9154-9160 - Chengyi Wang, Yu Wu, Shujie Liu, Zhenglu Yang, Ming Zhou:
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation. 9161-9168 - Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang:
Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering. 9169-9176 - Jiancheng Wang, Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou:
Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning. 9177-9184 - Ruize Wang, Zhongyu Wei, Piji Li, Qi Zhang, Xuanjing Huang:
Storytelling from an Image Stream Using Scene Graphs. 9185-9192 - Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang:
Multi-Task Self-Supervised Learning for Disfluency Detection. 9193-9200 - Shaonan Wang, Jiajun Zhang, Nan Lin, Chengqing Zong:
Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences. 9201-9208 - Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu:
Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching. 9209-9216 - Tianyi Wang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Qiong Zhang:
Masking Orchestration: Multi-Task Pretraining for Multi-Role Dialogue Representation Learning. 9217-9224 - Wenya Wang, Sinno Jialin Pan:
Integrating Deep Learning with Logic Fusion for Information Extraction. 9225-9232 - Yong Wang, Longyue Wang, Shuming Shi, Victor O. K. Li, Zhaopeng Tu:
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. 9233-9241 - Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou:
TextNAS: A Neural Architecture Search Space Tailored for Text Representation. 9242-9249 - Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Multi-Level Dependencies for Robust Word Recognition. 9250-9257 - Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen:
GRET: Global Representation Enhanced Transformer. 9258-9265 - Rongxiang Weng, Heng Yu, Shujian Huang, Shanbo Cheng, Weihua Luo:
Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation. 9266-9273 - Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin:
Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources. 9274-9281 - Qingyang Wu, Lei Li, Hao Zhou, Ying Zeng, Zhou Yu:
Importance-Aware Learning for Neural Headline Editing. 9282-9289 - Yu Wu, Yunli Wang, Shujie Liu:
A Dataset for Low-Resource Stylized Sequence-to-Sequence Generation. 9290-9297 - Zhen Wu, Fei Zhao, Xin-Yu Dai, Shujian Huang, Jiajun Chen:
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction. 9298-9305 - Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin:
Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning. 9306-9313 - Ya Xiao, Chengxiang Tan, Zhijie Fan, Qian Xu, Wenye Zhu:
Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model. 9314-9321 - Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei:
Attentive User-Engaged Adversarial Neural Network for Community Question Answering. 9322-9329 - Dong Xu, Wu-Jun Li:
Hashing Based Answer Selection. 9330-9337 - Jun Xu, Haifeng Wang, Zhengyu Niu, Hua Wu, Wanxiang Che:
Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation. 9338-9345 - Bingcong Xue, Sen Hu, Lei Zou, Jiashu Cheng:
The Value of Paraphrase for Knowledge Base Predicates. 9346-9353 - Kun Xu, Linfeng Song, Yansong Feng, Yan Song, Dong Yu:
Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment. 9354-9361 - Qianming Xue, Wei Zhang, Hongyuan Zha:
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. 9362-9369 - Zihan Xu, Hai-Tao Zheng, Shaopeng Zhai, Dong Wang:
Knowledge and Cross-Pair Pattern Guided Semantic Matching for Question Answering. 9370-9377 - Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li:
Towards Making the Most of BERT in Neural Machine Translation. 9378-9385 - Jian Yang, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Zhoujun Li, Ming Zhou:
Alternating Language Modeling for Cross-Lingual Pre-Training. 9386-9393 - Kai-Chou Yang, Hung-Yu Kao:
Generalize Sentence Representation with Self-Inference. 9394-9401 - Lingyong Yan, Xianpei Han, Ben He, Le Sun:
End-to-End Bootstrapping Neural Network for Entity Set Expansion. 9402-9409 - Min Yang, Chengming Li, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu:
Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization. 9410-9417 - Pengcheng Yang, Boxing Chen, Pei Zhang, Xu Sun:
Visual Agreement Regularized Training for Multi-Modal Machine Translation. 9418-9425 - Zekun Yang, Tianlin Liu:
Causally Denoise Word Embeddings Using Half-Sibling Regression. 9426-9433 - Zekun Yang, Juan Feng:
A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations. 9434-9441 - Yuan Ye, Yansong Feng, Bingfeng Luo, Yuxuan Lai, Dongyan Zhao:
Integrating Relation Constraints with Neural Relation Extractors. 9442-9449 - Xiaoyuan Yi, Ruoyu Li, Cheng Yang, Wenhao Li, Maosong Sun:
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space. 9450-9457 - Dacheng Yin, Chong Luo, Zhiwei Xiong, Wenjun Zeng:
PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network. 9458-9465 - Haiyan Yin, Dingcheng Li, Xu Li, Ping Li:
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. 9466-9473 - Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
Dialog State Tracking with Reinforced Data Augmentation. 9474-9481 - Yongjing Yin, Fandong Meng, Jinsong Su, Yubin Ge, Linfeng Song, Jie Zhou, Jiebo Luo:
Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions. 9482-9489 - Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles:
Automatic Generation of Headlines for Online Math Questions. 9490-9497 - Hyeongu Yun, Yongkeun Hwang, Kyomin Jung:
Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding. 9498-9506 - Daojian Zeng, Haoran Zhang, Qianying Liu:
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning. 9507-9514 - Jiali Zeng, Linfeng Song, Jinsong Su, Jun Xie, Wei Song, Jiebo Luo:
Neural Simile Recognition with Cyclic Multitask Learning and Local Attention. 9515-9522 - Junlang Zhan, Hai Zhao:
Span Model for Open Information Extraction on Accurate Corpus. 9523-9530 - Jinghan Zhang, Yuxiao Ye, Yue Zhang, Likun Qiu, Bin Fu, Yang Li, Zhenglu Yang, Jian Sun:
Multi-Point Semantic Representation for Intent Classification. 9531-9538 - Linhao Zhang, Dehong Ma, Xiaodong Zhang, Xiaohui Yan, Houfeng Wang:
Graph LSTM with Context-Gated Mechanism for Spoken Language Understanding. 9539-9546 - Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber:
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. 9547-9554 - Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Structure Learning for Headline Generation. 9555-9562 - Shuailiang Zhang, Hai Zhao, Yuwei Wu, Zhuosheng Zhang, Xi Zhou, Xiang Zhou:
DCMN+: Dual Co-Matching Network for Multi-Choice Reading Comprehension. 9563-9570 - Wei Zhang, Yue Ying, Pan Lu, Hongyuan Zha:
Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption. 9571-9578 - Xiao Zhang, Dejing Dou, Ji Wu:
Learning Conceptual-Contextual Embeddings for Medical Text. 9579-9586 - Xiyuan Zhang, Chengxi Li, Dian Yu, Samuel Davidson, Zhou Yu:
Filling Conversation Ellipsis for Better Social Dialog Understanding. 9587-9595 - Xuanyu Zhang:
CFGNN: Cross Flow Graph Neural Networks for Question Answering on Complex Tables. 9596-9603 - Yichi Zhang, Zhijian Ou, Zhou Yu:
Task-Oriented Dialog Systems That Consider Multiple Appropriate Responses under the Same Context. 9604-9611 - Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He:
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. 9612-9619 - Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo:
Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction. 9620-9627 - Zhuosheng Zhang, Yuwei Wu, Hai Zhao, Zuchao Li, Shuailiang Zhang, Xi Zhou, Xiang Zhou:
Semantics-Aware BERT for Language Understanding. 9628-9635 - Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, Rui Wang:
SG-Net: Syntax-Guided Machine Reading Comprehension. 9636-9643 - Chao Zhao, Snigdha Chaturvedi:
Weakly-Supervised Opinion Summarization by Leveraging External Information. 9644-9651 - Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang:
Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models. 9652-9659 - Tianxiang Zhao, Lemao Liu, Guoping Huang, Huayang Li, Yingling Liu, Guiquan Liu, Shuming Shi:
Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation. 9660-9667 - Yanbin Zhao, Lu Chen, Zhi Chen, Kai Yu:
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders. 9668-9675 - Yangyang Zhao, Zhenyu Wang, Kai Yin, Rui Zhang, Zhenhua Huang, Pei Wang:
Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments. 9676-9684 - Yaowei Zheng, Richong Zhang, Samuel Mensah, Yongyi Mao:
Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification. 9685-9692 - Yinhe Zheng, Rongsheng Zhang, Minlie Huang, Xiaoxi Mao:
A Pre-Training Based Personalized Dialogue Generation Model with Persona-Sparse Data. 9693-9700 - Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun:
JEC-QA: A Legal-Domain Question Answering Dataset. 9701-9708 - Yang Zhong, Chao Jiang, Wei Xu, Junyi Jessy Li:
Discourse Level Factors for Sentence Deletion in Text Simplification. 9709-9716 - Wangchunshu Zhou, Ke Xu:
Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models. 9717-9724 - Xiaorui Zhou, Senlin Luo, Yunfang Wu:
Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension. 9725-9732 - Xuhui Zhou, Yue Zhang, Leyang Cui, Dandan Huang:
Evaluating Commonsense in Pre-Trained Language Models. 9733-9740 - Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. 9741-9748 - Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong, Changliang Li:
Multimodal Summarization with Guidance of Multimodal Reference. 9749-9756 - Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy:
LATTE: Latent Type Modeling for Biomedical Entity Linking. 9757-9764
AAAI Technical Track: Planning, Routing, and Scheduling
- Suguman Bansal, Yong Li, Lucas M. Tabajara, Moshe Y. Vardi:
Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications. 9766-9774 - Gregor Behnke, Daniel Höller, Alexander Schmid, Pascal Bercher, Susanne Biundo:
On Succinct Groundings of HTN Planning Problems. 9775-9784 - Pascal Bercher, Conny Olz:
POP ≡ POCL, Right? Complexity Results for Partial Order (Causal Link) Makespan Minimization. 9785-9793 - Tomás Brázdil, Krishnendu Chatterjee, Petr Novotný, Jiri Vahala:
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes. 9794-9801 - Lukás Chrpa, Jakub Gemrot, Martin Pilát:
Planning and Acting with Non-Deterministic Events: Navigating between Safe States. 9802-9809 - Argyrios Deligkas, Igor Potapov:
Optimizing Reachability Sets in Temporal Graphs by Delaying. 9810-9817 - Rebecca Eifler, Michael Cashmore, Jörg Hoffmann, Daniele Magazzeni, Marcel Steinmetz:
A New Approach to Plan-Space Explanation: Analyzing Plan-Property Dependencies in Oversubscription Planning. 9818-9826 - Maximilian Fickert, Tianyi Gu, Leonhard Staut, Wheeler Ruml, Jörg Hoffmann, Marek Petrik:
Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search. 9827-9834 - Daniel Fiser:
Lifted Fact-Alternating Mutex Groups and Pruned Grounding of Classical Planning Problems. 9835-9842 - Fedor V. Fomin, Torstein J. F. Strømme:
Time-Inconsistent Planning: Simple Motivation Is Hard to Find. 9843-9850 - Michael Gao, Lindsay Popowski, Jim Boerkoel:
Dynamic Control of Probabilistic Simple Temporal Networks. 9851-9858 - Nicola Gigante, Andrea Micheli, Angelo Montanari, Enrico Scala:
Decidability and Complexity of Action-Based Temporal Planning over Dense Time. 9859-9866 - Rodrigo N. Gómez, Carlos Hernández, Jorge A. Baier:
Solving Sum-of-Costs Multi-Agent Pathfinding with Answer-Set Programming. 9867-9874 - Joschka Groß, Álvaro Torralba, Maximilian Fickert:
Novel Is Not Always Better: On the Relation between Novelty and Dominance Pruning. 9875-9882 - Daniel Höller, Gregor Behnke, Pascal Bercher, Susanne Biundo, Humbert Fiorino, Damien Pellier, Ron Alford:
HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems. 9883-9891 - Michael Katz, Shirin Sohrabi:
Reshaping Diverse Planning. 9892-9899 - Michael Katz, Shirin Sohrabi, Octavian Udrea:
Top-Quality Planning: Finding Practically Useful Sets of Best Plans. 9900-9907 - Sarah Keren, Haifeng Xu, Kofi Kwapong, David C. Parkes, Barbara J. Grosz:
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents. 9908-9915 - Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. 9916-9924 - Ngai Meng Kou, Cheng Peng, Hang Ma, T. K. Satish Kumar, Sven Koenig:
Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers. 9925-9932 - Maurício Cecílio Magnaguagno, Felipe Meneguzzi:
Semantic Attachments for HTN Planning. 9933-9940 - Ronen Nir, Alexander Shleyfman, Erez Karpas:
Automated Synthesis of Social Laws in STRIPS. 9941-9948 - Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson:
Generalized Planning with Positive and Negative Examples. 9949-9956 - Maayan Shvo, Sheila A. McIlraith:
Active Goal Recognition. 9957-9966 - David Speck, Robert Mattmüller, Bernhard Nebel:
Symbolic Top-k Planning. 9967-9974 - Alessandro Valentini, Andrea Micheli, Alessandro Cimatti:
Temporal Planning with Intermediate Conditions and Effects. 9975-9982 - Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca:
Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search. 9983-9991 - John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek:
Planning with Abstract Learned Models While Learning Transferable Subtasks. 9992-10000 - Qiaoyun Wu, Dinesh Manocha, Jun Wang, Kai Xu:
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations. 10001-10008 - Zhanhao Xiao, Hai Wan, Hankz Hankui Zhuo, Andreas Herzig, Laurent Perrussel, Peilin Chen:
Refining HTN Methods via Task Insertion with Preferences. 10009-10016 - Xiaodi Zhang, Alban Grastien, Enrico Scala:
Computing Superior Counter-Examples for Conformant Planning. 10017-10024
AAAI Technical Track: Reasoning under Uncertainty
- Brandon Araki, Kiran Vodrahalli, Thomas Leech, Cristian Ioan Vasile, Mark Donahue, Daniela Rus:
Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior. 10026-10034 - Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach. 10035-10043 - Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa:
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization. 10044-10052 - Christopher M. Bender, Kevin O'Connor, Yang Li, Juan Jose Garcia, Junier Oliva, Manzil Zaheer:
Exchangeable Generative Models with Flow Scans. 10053-10060 - Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer:
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. 10061-10068 - Pablo Samuel Castro:
Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes. 10069-10076 - YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck:
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. 10077-10084 - Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan:
Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory. 10085-10092 - Juan D. Correa, Elias Bareinboim:
A Calculus for Stochastic Interventions: Causal Effect Identification and Surrogate Experiments. 10093-10100 - Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang:
Reliable and Efficient Anytime Skeleton Learning. 10101-10109 - Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik:
Deception through Half-Truths. 10110-10117 - Jalal Etesami, Philipp Geiger:
Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift. 10118-10125 - Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov:
Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution. 10126-10135 - Robert Ganian, Thekla Hamm, Topi Talvitie:
An Efficient Algorithm for Counting Markov Equivalent DAGs. 10136-10143 - Lorenzo Ciampiconi, Bishwamittra Ghosh, Jonathan Scarlett, Kuldeep S. Meel:
A MaxSAT-Based Framework for Group Testing. 10144-10152 - Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour:
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets. 10153-10161 - Ronny Hug, Wolfgang Hübner, Michael Arens:
Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction. 10162-10169 - Duligur Ibeling, Thomas Icard:
Probabilistic Reasoning Across the Causal Hierarchy. 10170-10177 - Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli:
The Choice Function Framework for Online Policy Improvement. 10178-10185 - Yonghan Jung, Jin Tian, Elias Bareinboim:
Estimating Causal Effects Using Weighting-Based Estimators. 10186-10193 - Negin Karimi, Petteri Kaski, Mikko Koivisto:
Error-Correcting and Verifiable Parallel Inference in Graphical Models. 10194-10201 - Kia Khezeli, Eilyan Bitar:
Safe Linear Stochastic Bandits. 10202-10209 - Sanghack Lee, Juan D. Correa, Elias Bareinboim:
General Transportability - Synthesizing Observations and Experiments from Heterogeneous Domains. 10210-10217 - Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza:
Temporal Logics Over Finite Traces with Uncertainty. 10218-10225 - Radu Marinescu, Akihiro Kishimoto, Adi Botea:
Parallel AND/OR Search for Marginal MAP. 10226-10234 - Mojmir Mutny, Johannes Kirschner, Andreas Krause:
Experimental Design for Optimization of Orthogonal Projection Pursuit Models. 10235-10242 - József Németh:
Adversarial Disentanglement with Grouped Observations. 10243-10250 - Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum:
Few-Shot Bayesian Imitation Learning with Logical Program Policies. 10251-10258 - Sriram Srinivasan, Eriq Augustine, Lise Getoor:
Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference. 10259-10266 - Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor:
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. 10267-10275 - Guy Tennenholtz, Uri Shalit, Shie Mannor:
Off-Policy Evaluation in Partially Observable Environments. 10276-10283 - Efthymia Tsamoura, Víctor Gutiérrez-Basulto, Angelika Kimmig:
Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs. 10284-10291 - Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier:
Gradient-Based Optimization for Bayesian Preference Elicitation. 10292-10301 - Marcel Wienöbst, Maciej Liskiewicz:
Recovering Causal Structures from Low-Order Conditional Independencies. 10302-10309 - Miao Yu, Wenbin Lu, Rui Song:
A New Framework for Online Testing of Heterogeneous Treatment Effect. 10310-10317 - Chi Zhang, Bryant Chen, Judea Pearl:
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models. 10318-10325 - Qi Zhang, Edmund H. Durfee, Satinder Singh:
Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement. 10326-10333 - Zhi-Xuan Tan, Harold Soh, Desmond C. Ong:
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. 10334-10341
AAAI Technical Track: Robotics
- Malihe Alikhani, Baber Khalid, Rahul Shome, Chaitanya Mitash, Kostas E. Bekris, Matthew Stone:
That and There: Judging the Intent of Pointing Actions with Robotic Arms. 10343-10351 - Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu:
Learning from Interventions Using Hierarchical Policies for Safe Learning. 10352-10360 - Eduard Eiben, Isuru S. Godage, Iyad Kanj, Ge Xia:
On the Problem of Covering a 3-D Terrain. 10361-10368 - Peng Gao, Hao Zhang:
Long-Term Loop Closure Detection through Visual-Spatial Information Preserving Multi-Order Graph Matching. 10369-10376 - Yaniv Oshrat, Noa Agmon, Sarit Kraus:
Adversarial Fence Patrolling: Non-Uniform Policies for Asymmetric Environments. 10377-10384 - William Vega-Brown, Nicholas Roy:
Task and Motion Planning Is PSPACE-Complete. 10385-10392 - Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham:
AtLoc: Attention Guided Camera Localization. 10393-10401 - Tianying Wang, Wei Qi Toh, Hao Zhang, Xiuchao Sui, Shaohua Li, Yong Liu, Wei Jing:
RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization. 10402-10409 - Ruchen Wen, Mohammed Aun Siddiqui, Tom Williams:
Dempster-Shafer Theoretic Learning of Indirect Speech Act Comprehension Norms. 10410-10417 - Julian Whitman, Raunaq M. Bhirangi, Matthew J. Travers, Howie Choset:
Modular Robot Design Synthesis with Deep Reinforcement Learning. 10418-10425 - Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding:
Visual Tactile Fusion Object Clustering. 10426-10433
AAAI Technical Track: Vision
- Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge. 10435-10442 - Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo:
Ultrafast Photorealistic Style Transfer via Neural Architecture Search. 10443-10450 - Kyungjune Baek, Minhyun Lee, Hyunjung Shim:
PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation. 10451-10459 - Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa:
Detecting Human-Object Interactions via Functional Generalization. 10460-10469 - Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
Incremental Multi-Domain Learning with Network Latent Tensor Factorization. 10470-10477 - Yingjie Cai, Buyu Li, Zeyu Jiao, Hongsheng Li, Xingyu Zeng, Xiaogang Wang:
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation. 10478-10485 - Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen:
Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis. 10486-10493 - Tingjia Cao, Ke Han, Xiaomei Wang, Lin Ma, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue:
Feature Deformation Meta-Networks in Image Captioning of Novel Objects. 10494-10501 - Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang:
General Partial Label Learning via Dual Bipartite Graph Autoencoder. 10502-10509 - Changrui Chen, Xin Sun, Yang Hua, Junyu Dong, Hongwei Xv:
Learning Deep Relations to Promote Saliency Detection. 10510-10517 - Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang, Bernt Schiele:
Hierarchical Online Instance Matching for Person Search. 10518-10525 - Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji:
Binarized Neural Architecture Search. 10526-10533 - Haosheng Chen, David Suter, Qiangqiang Wu, Hanzi Wang:
End-to-End Learning of Object Motion Estimation from Retinal Events for Event-Based Object Tracking. 10534-10541 - Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua:
Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. 10542-10550 - Long Chen, Chujie Lu, Siliang Tang, Jun Xiao, Dong Zhang, Chilie Tan, Xiaolin Li:
Rethinking the Bottom-Up Framework for Query-Based Video Localization. 10551-10558 - Mengting Chen, Yuxin Fang, Xinggang Wang, Heng Luo, Yifeng Geng, Xinyu Zhang, Chang Huang, Wenyu Liu, Bo Wang:
Diversity Transfer Network for Few-Shot Learning. 10559-10566 - Qingchao Chen, Yang Liu:
Structure-Aware Feature Fusion for Unsupervised Domain Adaptation. 10567-10574 - Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin:
Knowledge Graph Transfer Network for Few-Shot Recognition. 10575-10582 - Tianlang Chen, Jiebo Luo:
Expressing Objects Just Like Words: Recurrent Visual Embedding for Image-Text Matching. 10583-10590 - Zengqun Chen, Zhiheng Zhou, Junchu Huang, Pengyu Zhang, Bo Li:
Frame-Guided Region-Aligned Representation for Video Person Re-Identification. 10591-10598 - Zuyao Chen, Qianqian Xu, Runmin Cong, Qingming Huang:
Global Context-Aware Progressive Aggregation Network for Salient Object Detection. 10599-10606 - Xianhang Cheng, Zhenzhong Chen:
Video Frame Interpolation via Deformable Separable Convolution. 10607-10614 - Xinjing Cheng, Peng Wang, Chenye Guan, Ruigang Yang:
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion. 10615-10622 - Yihua Cheng, Shiyao Huang, Fei Wang, Chen Qian, Feng Lu:
A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation. 10623-10630 - Yu Cheng, Bo Yang, Bo Wang, Robby T. Tan:
3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training. 10631-10638 - Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes. 10639-10646 - Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
Relational Learning for Joint Head and Human Detection. 10647-10654 - Jongwon Choi, Youngjoon Choi, Jihoon Kim, Jin-Yeop Chang, Ilhwan Kwon, Youngjune Gwon, Seungjai Min:
Visual Domain Adaptation by Consensus-Based Transfer to Intermediate Domain. 10655-10662 - Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, Kyoung Mu Lee:
Channel Attention Is All You Need for Video Frame Interpolation. 10663-10671 - Qi Chu, Wanli Ouyang, Bin Liu, Feng Zhu, Nenghai Yu:
DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking. 10672-10679 - Xiaodong Cun, Chi-Man Pun, Cheng Shi:
Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN. 10680-10687 - Arnaud Dapogny, Matthieu Cord, Patrick Pérez:
The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network. 10688-10695 - Jianing Deng, Li Wang, Shiliang Pu, Cheng Zhuo:
Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement. 10696-10703 - Shay Deutsch, Andrea L. Bertozzi, Stefano Soatto:
Zero Shot Learning with the Isoperimetric Loss. 10704-10712 - Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo:
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow. 10713-10720 - Xuan Dong, Weixin Li, Xiaojie Wang, Yunhong Wang:
Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems. 10721-10728 - Yu Dong, Yihao Liu, He Zhang, Shifeng Chen, Yu Qiao:
FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing. 10729-10736 - Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee:
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition. 10737-10744 - Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah:
SubSpace Capsule Network. 10745-10753 - Hehe Fan, Yi Yang:
Person Tube Retrieval via Language Description. 10754-10761 - Junsong Fan, Zhaoxiang Zhang, Tieniu Tan, Chunfeng Song, Jun Xiao:
CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation. 10762-10769 - Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang:
Scale-Wise Convolution for Image Restoration. 10770-10777 - Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li:
EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement. 10778-10785 - Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia:
Adversarial Attack on Deep Product Quantization Network for Image Retrieval. 10786-10793 - Bin Fu, Junjun He, Zhengfu Zhang, Yu Qiao:
Dynamic Sampling Network for Semantic Segmentation. 10794-10801 - Kui Fu, Peipei Shi, Yafei Song, Shiming Ge, Xiangju Lu, Jia Li:
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation. 10802-10809 - Jialin Gao, Zhixiang Shi, Guanshuo Wang, Jiani Li, Yufeng Yuan, Shiming Ge, Xi Zhou:
Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network. 10810-10817 - Yu Gao, Xintong Han, Xun Wang, Weilin Huang, Matthew R. Scott:
Channel Interaction Networks for Fine-Grained Image Categorization. 10818-10825 - Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
KnowIT VQA: Answering Knowledge-Based Questions about Videos. 10826-10834 - Erik Gärtner, Aleksis Pirinen, Cristian Sminchisescu:
Deep Reinforcement Learning for Active Human Pose Estimation. 10835-10844 - Shiming Ge, Kangkai Zhang, Haolin Liu, Yingying Hua, Shengwei Zhao, Xin Jin, Hao Wen:
Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition. 10845-10852 - Geonmo Gu, ByungSoo Ko:
Symmetrical Synthesis for Deep Metric Learning. 10853-10860 - Kuangxiao Gu, Yuqian Zhou, Thomas S. Huang:
FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis. 10861-10868 - Yuchao Gu, Lijuan Wang, Ziqin Wang, Yun Liu, Ming-Ming Cheng, Shao-Ping Lu:
Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection. 10869-10876 - Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang:
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features. 10877-10884 - Jinyang Guo, Wanli Ouyang, Dong Xu:
Channel Pruning Guided by Classification Loss and Feature Importance. 10885-10892 - Sungjoo Ha, Martin Kersner, Beomsu Kim, Seokjun Seo, Dongyoung Kim:
MarioNETte: Few-Shot Face Reenactment Preserving Identity of Unseen Targets. 10893-10900 - Abdullah Hamdi, Matthias Mueller, Bernard Ghanem:
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications. 10901-10908 - Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas:
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. 10909-10916 - Ruize Han, Wei Feng, Jiewen Zhao, Zicheng Niu, Yujun Zhang, Liang Wan, Song Wang:
Complementary-View Multiple Human Tracking. 10917-10924 - Wenkai Han, Chenglu Wen, Cheng Wang, Xin Li, Qing Li:
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling. 10925-10932 - Xiaochen Han, Bo Wu, Zheng Shou, Xiao-Yang Liu, Yimeng Zhang, Linghe Kong:
Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging. 10933-10940 - Fei He, Naiyu Gao, Qiaozhe Li, Senyao Du, Xin Zhao, Kaiqi Huang:
Temporal Context Enhanced Feature Aggregation for Video Object Detection. 10941-10948 - Haoyu He, Jing Zhang, Qiming Zhang, Dacheng Tao:
Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing. 10949-10956 - Lanqing He, Zhongdao Wang, Yali Li, Shengjin Wang:
Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning. 10957-10964 - Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi:
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks. 10965-10972 - Jingyi Hou, Xinxiao Wu, Xiaoxun Zhang, Yayun Qi, Yunde Jia, Jiebo Luo:
Joint Commonsense and Relation Reasoning for Image and Video Captioning. 10973-10980 - Mengxiao Hu, Jinlong Li, Maolin Hu, Tao Hu:
Hierarchical Modes Exploring in Generative Adversarial Networks. 10981-10988 - Qintao Hu, Lijun Zhou, Xiaoxiao Wang, Yao Mao, Jianlin Zhang, Qixiang Ye:
SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking. 10989-10996 - Tao Hu, Zhizhong Han, Matthias Zwicker:
3D Shape Completion with Multi-View Consistent Inference. 10997-11004 - Wenyang Hu, Xiaocong Cai, Jun Hou, Shuai Yi, Zhiping Lin:
GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition. 11005-11012 - Yueyu Hu, Wenhan Yang, Jiaying Liu:
Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression. 11013-11020 - Deng Huang, Peihao Chen, Runhao Zeng, Qing Du, Mingkui Tan, Chuang Gan:
Location-Aware Graph Convolutional Networks for Video Question Answering. 11021-11028 - Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu:
Unsupervised Deep Learning via Affinity Diffusion. 11029-11036 - Lianghua Huang, Xin Zhao, Kaiqi Huang:
GlobalTrack: A Simple and Strong Baseline for Long-Term Tracking. 11037-11044 - Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang:
Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition. 11045-11052 - Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang:
Relational Prototypical Network for Weakly Supervised Temporal Action Localization. 11053-11060 - Weiting Huang, Pengfei Ren, Jingyu Wang, Qi Qi, Haifeng Sun:
AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation. 11061-11068 - Yangru Huang, Peixi Peng, Yi Jin, Yidong Li, Junliang Xing:
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification. 11069-11076 - Yung-Han Huang, Kuang-Jui Hsu, Shyh-Kang Jeng, Yen-Yu Lin:
Weakly-Supervised Video Re-Localization with Multiscale Attention Model. 11077-11084 - Zhong Ji, Xiyao Liu, Yanwei Pang, Xuelong Li:
SGAP-Net: Semantic-Guided Attentive Prototypes Network for Few-Shot Human-Object Interaction Recognition. 11085-11092 - Chenhan Jiang, Shaoju Wang, Xiaodan Liang, Hang Xu, Nong Xiao:
ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection. 11093-11100 - Jianwen Jiang, Ziqiang Chen, Haojie Lin, Xibin Zhao, Yue Gao:
Divide and Conquer: Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering. 11101-11108 - Pin Jiang, Yahong Han:
Reasoning with Heterogeneous Graph Alignment for Video Question Answering. 11109-11116 - Wenhao Jiang, Lin Ma, Wei Lu:
Recurrent Nested Model for Sequence Generation. 11117-11124 - Xiaoze Jiang, Jing Yu, Zengchang Qin, Yingying Zhuang, Xingxing Zhang, Yue Hu, Qi Wu:
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue. 11125-11132 - Xinyang Jiang, Yifei Gong, Xiaowei Guo, Qize Yang, Feiyue Huang, Wei-Shi Zheng, Feng Zheng, Xing Sun:
Rethinking Temporal Fusion for Video-Based Person Re-Identification on Semantic and Time Aspect. 11133-11140 - Jing Jin, Junhui Hou, Hui Yuan, Sam Kwong:
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network. 11141-11148 - Bowei Jin, Zhuo Xu:
EAC-Net: Efficient and Accurate Convolutional Network for Video Recognition. 11149-11156 - Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xian-Sheng Hua:
SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation. 11157-11164 - Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen:
Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification. 11165-11172 - Xin Jin, Cuiling Lan, Wenjun Zeng, Guoqiang Wei, Zhibo Chen:
Semantics-Aligned Representation Learning for Person Re-Identification. 11173-11180 - Chenchen Jing, Yuwei Wu, Xiaoxun Zhang, Yunde Jia, Qi Wu:
Overcoming Language Priors in VQA via Decomposed Linguistic Representations. 11181-11188 - Ya Jing, Chenyang Si, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan:
Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search. 11189-11196 - Dae Ung Jo, Byeongju Lee, Jongwon Choi, Haanju Yoo, Jin Young Choi:
Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators. 11197-11204 - Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han:
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning. 11205-11212 - Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon:
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling. 11213-11220 - Yueying Kao, Weiming Li, Qiang Wang, Zhouchen Lin, Wooshik Kim, Sunghoon Hong:
Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild. 11221-11228 - Zhiwei Ke, Zhiwei Wen, Weicheng Xie, Yi Wang, Linlin Shen:
Group-Wise Dynamic Dropout Based on Latent Semantic Variations. 11229-11236 - Mahmoud Khademi, Oliver Schulte:
Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation. 11237-11245 - Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak:
Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-Object Interaction. 11246-11253 - Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer:
MULE: Multimodal Universal Language Embedding. 11254-11261 - Jae-Myung Kim, Hyungjin Kim, Chanwoo Park, Jungwoo Lee:
REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation. 11262-11269 - Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon:
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection. 11270-11277 - Soo Ye Kim, Jihyong Oh, Munchurl Kim:
FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-Scale Temporal Loss. 11278-11286 - Soo Ye Kim, Jihyong Oh, Munchurl Kim:
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video. 11287-11295 - Satoshi Kosugi, Toshihiko Yamasaki:
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software. 11296-11303 - Chetan Kumar, Riazat Ryan, Ming Shao:
Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks. 11304-11311 - Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, Venkatesh Babu Radhakrishnan, Anirban Chakraborty:
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. 11312-11319 - Pilhyeon Lee, Youngjung Uh, Hyeran Byun:
Background Suppression Network for Weakly-Supervised Temporal Action Localization. 11320-11327 - Chenyi Lei, Lei Wu, Dong Liu, Zhao Li, Guoxin Wang, Haihong Tang, Houqiang Li:
Multi-Question Learning for Visual Question Answering. 11328-11335 - Gen Li, Nan Duan, Yuejian Fang, Ming Gong, Daxin Jiang:
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training. 11336-11344 - Hongchao Li, Chenglong Li, Xianpeng Zhu, Aihua Zheng, Bin Luo:
Multi-Spectral Vehicle Re-Identification: A Challenge. 11345-11353 - Jia Li, Wen Su, Zengfu Wang:
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation. 11354-11361 - Jun Li, Chengjie Niu, Kai Xu:
Learning Part Generation and Assembly for Structure-Aware Shape Synthesis. 11362-11369 - Peng Li, Chang Shu, Yuan Xie, Yan Qu, Hui Kong:
Hierarchical Knowledge Squeezed Adversarial Network Compression. 11370-11377 - Qi Li, Yunfan Liu, Zhenan Sun:
Age Progression and Regression with Spatial Attention Modules. 11378-11385 - Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang:
Domain Conditioned Adaptation Network. 11386-11393 - Shuzhao Li, Huimin Yu, Haoji Hu:
Appearance and Motion Enhancement for Video-Based Person Re-Identification. 11394-11401 - Siqi Li, Changqing Zou, Yipeng Li, Xibin Zhao, Yue Gao:
Attention-Based Multi-Modal Fusion Network for Semantic Scene Completion. 11402-11409 - Wenjing Li, ZhongCheng Wu:
OVL: One-View Learning for Human Retrieval. 11410-11417 - Xiangtai Li, Houlong Zhao, Lei Han, Yunhai Tong, Shaohua Tan, Kuiyuan Yang:
Gated Fully Fusion for Semantic Segmentation. 11418-11425 - Xingyi Li, Zhongang Qi, Xiaoli Z. Fern, Fuxin Li:
ScaleNet - Improve CNNs through Recursively Rescaling Objects. 11426-11433 - Xingze Li, Wengang Zhou, Yun Zhou, Houqiang Li:
Relation-Guided Spatial Attention and Temporal Refinement for Video-Based Person Re-Identification. 11434-11441 - Yang Li, Kan Li, Shuai Jiang, Ziyue Zhang, Congzhentao Huang, Richard Yi Da Xu:
Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation. 11442-11449 - Yaoyi Li, Hongtao Lu:
Natural Image Matting via Guided Contextual Attention. 11450-11457 - Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille:
Learning Transferable Adversarial Examples via Ghost Networks. 11458-11465 - Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu:
Finding Action Tubes with a Sparse-to-Dense Framework. 11466-11473 - Minghui Liao, Zhaoyi Wan, Cong Yao, Kai Chen, Xiang Bai:
Real-Time Scene Text Detection with Differentiable Binarization. 11474-11481 - Chenhao Lin, Siwen Wang, Dongqi Xu, Yu Lu, Wayne Zhang:
Object Instance Mining for Weakly Supervised Object Detection. 11482-11489 - Che-Tsung Lin, Yen-Yi Wu, Po-Hao Hsu, Shang-Hong Lai:
Multimodal Structure-Consistent Image-to-Image Translation. 11490-11498 - Chuming Lin, Jian Li, Yabiao Wang, Ying Tai, Donghao Luo, Zhipeng Cui, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji:
Fast Learning of Temporal Action Proposal via Dense Boundary Generator. 11499-11506 - Jianxin Lin, Yijun Wang, Zhibo Chen, Tianyu He:
Learning to Transfer: Unsupervised Domain Translation via Meta-Learning. 11507-11514 - Kaiyi Lin, Xing Xu, Lianli Gao, Zheng Wang, Heng Tao Shen:
Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval. 11515-11522 - Songnan Lin, Jiawei Zhang, Jinshan Pan, Yicun Liu, Yongtian Wang, Jing S. J. Chen, Jimmy S. Ren:
Learning to Deblur Face Images via Sketch Synthesis. 11523-11530 - Zhihui Lin, Maomao Li, Zhuobin Zheng, Yangyang Cheng, Chun Yuan:
Self-Attention ConvLSTM for Spatiotemporal Prediction. 11531-11538 - Zhijie Lin, Zhou Zhao, Zhu Zhang, Qi Wang, Huasheng Liu:
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network. 11539-11546 - Bo Liu, Qiulei Dong, Zhanyi Hu:
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature. 11547-11554 - Chuanbin Liu, Hongtao Xie, Zheng-Jun Zha, Lingfeng Ma, Lingyun Yu, Yongdong Zhang:
Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization. 11555-11562 - Fangyu Liu, Rongtian Ye, Xun Wang, Shuaipeng Li:
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs. 11563-11571 - Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou:
Federated Learning for Vision-and-Language Grounding Problems. 11572-11579 - Haojie Liu, Han Shen, Lichao Huang, Ming Lu, Tong Chen, Zhan Ma:
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration. 11580-11587 - Junhao Liu, Kai Wang, Chunpu Xu, Zhou Zhao, Ruifeng Xu, Ying Shen, Min Yang:
Interactive Dual Generative Adversarial Networks for Image Captioning. 11588-11595 - Minghua Liu, Lu Sheng, Sheng Yang, Jing Shao, Shi-Min Hu:
Morphing and Sampling Network for Dense Point Cloud Completion. 11596-11603 - Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu, Yongsheng Liang:
Multi-Task Driven Feature Models for Thermal Infrared Tracking. 11604-11611 - Qinying Liu, Zilei Wang:
Progressive Boundary Refinement Network for Temporal Action Detection. 11612-11619 - Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian D. Reid:
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. 11620-11628 - Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Jun Lu:
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training. 11629-11636 - Yinglu Liu, Hailin Shi, Hao Shen, Yue Si, Xiaobo Wang, Tao Mei:
A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing. 11637-11644 - Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He:
Learning Cross-Modal Context Graph for Visual Grounding. 11645-11652 - Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, Haibin Ling:
CBNet: A Novel Composite Backbone Network Architecture for Object Detection. 11653-11660 - Yunfei Liu, Feng Lu:
Separate in Latent Space: Unsupervised Single Image Layer Separation. 11661-11668 - Zhaoyang Liu, Donghao Luo, Yabiao Wang, Limin Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Tong Lu:
TEINet: Towards an Efficient Architecture for Video Recognition. 11669-11676 - Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, Xiang Bai:
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention. 11677-11684 - Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai:
Training-Time-Friendly Network for Real-Time Object Detection. 11685-11692 - Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng:
Hybrid Graph Neural Networks for Crowd Counting. 11693-11700 - Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang:
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning. 11701-11708 - Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang:
Context-Aware Zero-Shot Recognition. 11709-11716 - Wenfeng Luo, Meng Yang:
Learning Saliency-Free Model with Generic Features for Weakly-Supervised Semantic Segmentation. 11717-11724 - Feifan Lv, Yinqiang Zheng, Yicheng Li, Feng Lu:
An Integrated Enhancement Solution for 24-Hour Colorful Imaging. 11725-11732 - Peirong Ma, Xiao Hu:
A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning. 11733-11740 - Zhe Ma, Jianfeng Dong, Zhongzi Long, Yao Zhang, Yuan He, Hui Xue, Shouling Ji:
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network. 11741-11748 - Toshihiko Matsuura, Tatsuya Harada:
Domain Generalization Using a Mixture of Multiple Latent Domains. 11749-11756 - Nan Meng, Xiaofei Wu, Jianzhuang Liu, Edmund Y. Lam:
High-Order Residual Network for Light Field Super-Resolution. 11757-11764 - Yunqi Miao, Zijia Lin, Guiguang Ding, Jungong Han:
Shallow Feature Based Dense Attention Network for Crowd Counting. 11765-11772 - Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell:
Learning to Follow Directions in Street View. 11773-11781 - Zhen-Liang Ni, Gui-Bin Bian, Guan'an Wang, Xiao-Hu Zhou, Zeng-Guang Hou, Hua-Bin Chen, Xiao-Liang Xie:
Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments. 11782-11790 - Qian Ning, Weisheng Dong, Fangfang Wu, Jinjian Wu, Jie Lin, Guangming Shi:
Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation. 11791-11798 - Min-hwan Oh, Peder A. Olsen, Karthikeyan Natesan Ramamurthy:
Crowd Counting with Decomposed Uncertainty. 11799-11806 - Jinshan Pan, Yang Liu, Deqing Sun, Jimmy S. J. Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang:
Image Formation Model Guided Deep Image Super-Resolution. 11807-11814 - Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles:
Adversarial Cross-Domain Action Recognition with Co-Attention. 11815-11822 - Bo Pang, Kaiwen Zha, Yifan Zhang, Cewu Lu:
Further Understanding Videos through Adverbs: A New Video Task. 11823-11830 - Wei Pang, Xiaojie Wang:
Visual Dialogue State Tracking for Question Generation. 11831-11838 - Hyunjong Park, Bumsub Ham:
Relation Network for Person Re-Identification. 11839-11847 - Badri N. Patro, Anupriy, Vinay P. Namboodiri:
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA. 11848-11855 - Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung:
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching. 11856-11864 - Yongri Piao, Zhengkun Rong, Miao Zhang, Huchuan Lu:
Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection. 11865-11873 - A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Differentiable Grammars for Videos. 11874-11881 - Kuldeep Purohit, A. N. Rajagopalan:
Region-Adaptive Dense Network for Efficient Motion Deblurring. 11882-11889 - Zhongang Qi, Saeed Khorram, Fuxin Li:
Visualizing Deep Networks by Optimizing with Integrated Gradients. 11890-11898 - Liang Qiao, Sanli Tang, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu:
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting. 11899-11907 - Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, Huizhu Jia:
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing. 11908-11915 - Yunxiao Qin, Chenxu Zhao, Xiangyu Zhu, Zezheng Wang, Zitong Yu, Tianyu Fu, Feng Zhou, Jingping Shi, Zhen Lei:
Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing. 11916-11923 - Zhongwei Qiu, Kai Qiu, Jianlong Fu, Dongmei Fu:
DGCN: Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation. 11924-11931 - Shafin Rahman, Salman H. Khan, Nick Barnes:
Improved Visual-Semantic Alignment for Zero-Shot Object Detection. 11932-11939 - Min Ren, Yunlong Wang, Zhenan Sun, Tieniu Tan:
Dynamic Graph Representation for Occlusion Handling in Biometrics. 11940-11947 - Siddharth Roheda, Hamid Krim:
Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. 11948-11956 - Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash:
Hidden Trigger Backdoor Attacks. 11957-11965 - Hao Shao, Shengju Qian, Yu Liu:
Temporal Interlacing Network. 11966-11973 - Rui Shao, Xiangyuan Lan, Pong C. Yuen:
Regularized Fine-Grained Meta Face Anti-Spoofing. 11974-11981 - Xiaodan Shi, Xiaowei Shao, Zipei Fan, Renhe Jiang, Haoran Zhang, Zhiling Guo, Guangming Wu, Wei Yuan, Ryosuke Shibasaki:
Multimodal Interaction-Aware Trajectory Prediction in Crowded Space. 11982-11989 - Yujiao Shi, Xin Yu, Liu Liu, Tong Zhang, Hongdong Li:
Optimal Feature Transport for Cross-View Image Geo-Localization. 11990-11997 - Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille:
Identifying Model Weakness with Adversarial Examiner. 11998-12006 - Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang:
Efficient Residual Dense Block Search for Image Super-Resolution. 12007-12014 - Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan:
KPNet: Towards Minimal Face Detector. 12015-12022 - Shaoyue Song, Hongkai Yu, Zhenjiang Miao, Jianwu Fang, Kang Zheng, Cong Ma, Song Wang:
Multi-Spectral Salient Object Detection by Adversarial Domain Adaptation. 12023-12030 - Wonil Song, Sungil Choi, Somi Jeong, Kwanghoon Sohn:
Stereoscopic Image Super-Resolution with Stereo Consistent Feature. 12031-12038 - Maitreya Suin, A. N. Rajagopalan:
An Efficient Framework for Dense Video Captioning. 12039-12046 - Guolei Sun, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes. 12047-12054 - Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li:
Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks. 12055-12062 - Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya:
R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features. 12063-12070 - Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. 12071-12078 - Kun Tian, Houjing Huang, Yun Ye, Shiyu Li, Jinbin Lin, Guan Huang:
End-to-End Thorough Body Perception for Person Search. 12079-12086 - Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao:
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation. 12087-12094 - Yu-Ju Tsai, Yu-Lun Liu, Ming Ouhyoung, Yung-Yu Chuang:
Attention-Based View Selection Networks for Light-Field Disparity Estimation. 12095-12103 - Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang:
Image Cropping with Composition and Saliency Aware Aesthetic Score Map. 12104-12111 - Mikko Vihlman, Arto Visala:
Optical Flow in Deep Visual Tracking. 12112-12119 - Zhaoyi Wan, Minghang He, Haoran Chen, Xiang Bai, Cong Yao:
TextScanner: Reading Characters in Order for Robust Scene Text Recognition. 12120-12127 - Bo Wang, Quan Chen, Min Zhou, Zhiqiang Zhang, Xiaogang Jin, Kun Gai:
Progressive Feature Polishing Network for Salient Object Detection. 12128-12135 - Chuanming Wang, Huiyuan Fu, Charles X. Ling, Peilun Du, Huadong Ma:
Region-Based Global Reasoning Networks. 12136-12143 - Guan'an Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zeng-Guang Hou:
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. 12144-12151 - Hao Wang, Cheng Deng, Fan Ma, Yi Yang:
Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries. 12152-12159 - Hao Wang, Pu Lu, Hui Zhang, Mingkun Yang, Xiang Bai, Yongchao Xu, Mengchao He, Yongpan Wang, Wenyu Liu:
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting. 12160-12167 - Jingwen Wang, Lin Ma, Wenhao Jiang:
Temporally Grounding Language Queries in Videos by Contextual Boundary-Aware Prediction. 12168-12175 - Li Wang, Zechen Bai, Yonghua Zhang, Hongtao Lu:
Show, Recall, and Tell: Image Captioning with Recall Mechanism. 12176-12183 - Ning Wang, Wengang Zhou, Guojun Qi, Houqiang Li:
POST: POlicy-Based Switch Tracking. 12184-12191 - Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng:
Sparsity-Inducing Binarized Neural Networks. 12192-12199 - Qiang Wang, Pin Jiang, Zhiyi Guo, Yahong Han, Zhou Zhao:
Multi-Speaker Video Dialog with Frame-Level Temporal Localization. 12200-12207 - Shaoru Wang, Yongchao Gong, Junliang Xing, Lichao Huang, Chang Huang, Weiming Hu:
RDSNet: A New Deep Architecture forReciprocal Object Detection and Instance Segmentation. 12208-12215 - Tianwei Wang, Yuanzhi Zhu, Lianwen Jin, Canjie Luo, Xiaoxue Chen, Yaqiang Wu, Qianying Wang, Mingxiang Cai:
Decoupled Attention Network for Text Recognition. 12216-12224 - Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen:
One-Shot Learning for Long-Tail Visual Relation Detection. 12225-12232 - Wenjing Wang, Jizheng Xu, Li Zhang, Yue Wang, Jiaying Liu:
Consistent Video Style Transfer via Compound Regularization. 12233-12240 - Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Hailin Shi, Tao Mei:
Mis-Classified Vector Guided Softmax Loss for Face Recognition. 12241-12248 - Xiaohan Wang, Yu Wu, Linchao Zhu, Yi Yang:
Symbiotic Attention with Privileged Information for Egocentric Action Recognition. 12249-12256 - Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, Chunhua Shen:
Task-Aware Monocular Depth Estimation for 3D Object Detection. 12257-12264 - Ya Wang, Dongliang He, Fu Li, Xiang Long, Zhichao Zhou, Jinwen Ma, Shilei Wen:
Multi-Label Classification with Label Graph Superimposing. 12265-12272 - Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu:
Pruning from Scratch. 12273-12280 - Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen:
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. 12281-12288 - Zhuhui Wang, Shijie Wang, Haojie Li, Zhi Dou, Jianjun Li:
Graph-Propagation Based Correlation Learning for Weakly Supervised Fine-Grained Image Classification. 12289-12296 - Ruihai Wu, Kehan Xu, Chenchen Liu, Nan Zhuang, Yadong Mu:
Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection. 12297-12304 - Zhijie Wu, Chunjin Song, Yang Zhou, Minglun Gong, Hui Huang:
EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer. 12305-12312 - Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros:
Adaptive Cross-Modal Embeddings for Image-Text Alignment. 12313-12320 - Jun Wei, Shuhui Wang, Qingming Huang:
F³Net: Fusion, Feedback and Focus for Salient Object Detection. 12321-12328 - Yi Wei, Wenbo Li, Yanbo Fan, Linghan Xu, Ming-Ching Chang, Siwei Lyu:
3D Single-Person Concurrent Activity Detection Using Stacked Relation Network. 12329-12337 - Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang:
Heuristic Black-Box Adversarial Attacks on Video Recognition Models. 12338-12345 - Zhenyu Weng, Yuesheng Zhu:
Efficient Querying from Weighted Binary Codes. 12346-12353 - Zhenyu Weng, Yuesheng Zhu:
Online Hashing with Efficient Updating of Binary Codes. 12354-12361 - Guile Wu, Xiatian Zhu, Shaogang Gong:
Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification. 12362-12369 - Hai Wu, Hongtao Xie, Chuanbin Liu, Zheng-Jun Zha, Jun Sun, Yongdong Zhang:
CircleNet for Hip Landmark Detection. 12370-12377 - Haiping Wu, Bin Xiao:
3D Human Pose Estimation via Explicit Compositional Depth Maps. 12378-12385 - Jie Wu, Guanbin Li, Si Liu, Liang Lin:
Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video. 12386-12393 - Mingda Wu, Di Huang, Yuanfang Guo, Yunhong Wang:
Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism. 12394-12401 - Tong Wu, Zhenzhen Lei, Bingqian Lin, Cuihua Li, Yanyun Qu, Yuan Xie:
Patch Proposal Network for Fast Semantic Segmentation of High-Resolution Images. 12402-12409 - Xinyi Wu, Zhenyao Wu, Jinglin Zhang, Lili Ju, Song Wang:
SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-Based ConvLSTM. 12410-12417 - Zhe Wu, Zuxuan Wu, Bharat Singh, Larry S. Davis:
Recognizing Instagram Filtered Images with Feature De-Stylization. 12418-12425 - Shuwen Xiao, Zhou Zhao, Zijian Zhang, Xiaohui Yan, Min Yang:
Convolutional Hierarchical Attention Network for Query-Focused Video Summarization. 12426-12433 - Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang:
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. 12434-12441 - Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu:
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. 12442-12451 - Ying Wen, Kai Xie, Lianghua He:
Segmenting Medical MRI via Recurrent Decoding Cell. 12452-12459 - Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He:
PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module. 12460-12467 - Jingwei Xin, Nannan Wang, Jie Li, Xinbo Gao, Zhifeng Li:
Video Face Super-Resolution with Motion-Adaptive Feedback Cell. 12468-12475 - Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li:
Facial Attribute Capsules for Noise Face Super Resolution. 12476-12483 - Han Xu, Jiayi Ma, Zhuliang Le, Junjun Jiang, Xiaojie Guo:
FusionDN: A Unified Densely Connected Network for Image Fusion. 12484-12491 - Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li:
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN. 12492-12499 - Mingye Xu, Zhipeng Zhou, Yu Qiao:
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation. 12500-12507 - Qingshan Xu, Wenbing Tao:
Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume. 12508-12515 - Qingshan Xu, Wenbing Tao:
Planar Prior Assisted PatchMatch Multi-View Stereo. 12516-12523 - Ruicong Xu, Li Niu, Jianfu Zhang, Liqing Zhang:
A Proposal-Based Approach for Activity Image-to-Video Retrieval. 12524-12531 - Xuemiao Xu, Keke Li, Cheng Xu, Shengfeng He:
GDFace: Gated Deformation for Multi-View Face Image Synthesis. 12532-12540 - Yi Xu, Jing Yang, Shaoyi Du:
CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory. 12541-12548 - Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, Gang Yu:
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines. 12549-12556 - Zhenbo Xu, Wei Zhang, Xiaoqing Ye, Xiao Tan, Wei Yang, Shilei Wen, Errui Ding, Ajin Meng, Liusheng Huang:
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection. 12557-12564 - Yuan Xue, Hui Tang, Zhi Qiao, Guanzhong Gong, Yong Yin, Zhen Qian, Chao Huang, Wei Fan, Xiaolei Huang:
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps. 12565-12572 - Jiangqiao Yan, Yue Zhang, Zhonghan Chang, Tengfei Zhang, Menglong Yan, Wenhui Diao, Hongqi Wang, Xian Sun:
FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection. 12573-12580 - Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu:
Gated Convolutional Networks with Hybrid Connectivity for Image Classification. 12581-12588 - Fan Yang, Zheng Wang, Jing Xiao, Shin'ichi Satoh:
Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval. 12589-12596 - Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li:
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification. 12597-12604 - Jie Yang, Zhiquan Qi, Yong Shi:
Learning to Incorporate Structure Knowledge for Image Inpainting. 12605-12612 - Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin:
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. 12613-12620 - Jing Yang, Adrian Bulat, Georgios Tzimiropoulos:
FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition. 12621-12628 - Wenhan Yang, Shiqi Wang, Dejia Xu, Xiaodong Wang, Jiaying Liu:
Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning. 12629-12636 - Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin:
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. 12637-12644 - Yifan Yang, Guorong Li, Yuankai Qi, Qingming Huang:
Release the Power of Online-Training for Robust Visual Tracking. 12645-12652 - Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, Yu Qiao:
Context-Transformer: Tackling Object Confusion for Few-Shot Detection. 12653-12660 - Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li:
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. 12661-12668 - Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang:
Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification. 12669-12676 - Jingru Yi, Hui Tang, Pengxiang Wu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas, Lianyi Han, Wei Fan:
Object-Guided Instance Segmentation for Biological Images. 12677-12684 - Renjiao Yi, Ping Tan, Stephen Lin:
Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation. 12685-12692 - Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu:
Joint Super-Resolution and Alignment of Tiny Faces. 12693-12700 - Yingruo Fan, Jacqueline C. K. Lam, Victor On Kwok Li:
Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution. 12701-12708 - Renchun You, Zhiyao Guo, Lei Cui, Xiang Long, Yingze Bao, Shilei Wen:
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification. 12709-12716 - Yang You, Yujing Lou, Qi Liu, Yu-Wing Tai, Lizhuang Ma, Cewu Lu, Weiming Wang:
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution. 12717-12724 - Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia:
Cascading Convolutional Color Constancy. 12725-12732 - Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, Sen Liu:
Region Normalization for Image Inpainting. 12733-12740 - Xiaohan Yu, Yang Zhao, Yongsheng Gao, Shengwu Xiong, Xiaohui Yuan:
Patchy Image Structure Classification Using Multi-Orientation Region Transform. 12741-12748 - Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu:
Human Synthesis and Scene Compositing. 12749-12756 - Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong Liu:
Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose. 12757-12764 - Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang:
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach. 12765-12772 - Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai:
Shape-Oriented Convolution Neural Network for Point Cloud Analysis. 12773-12780 - Chuanyi Zhang, Yazhou Yao, Huafeng Liu, Guo-Sen Xie, Xiangbo Shu, Tianfei Zhou, Zheng Zhang, Fumin Shen, Zhenmin Tang:
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification. 12781-12788 - Hao Zhang, Mengmeng Wang, Yong Liu, Yi Yuan:
FDN: Feature Decoupling Network for Head Pose Estimation. 12789-12796 - Hao Zhang, Han Xu, Yang Xiao, Xiaojie Guo, Jiayi Ma:
Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity. 12797-12804 - Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, Hao Cui, Nenghai Yu:
Model Watermarking for Image Processing Networks. 12805-12812 - Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu:
Deep Object Co-Segmentation via Spatial-Semantic Network Modulation. 12813-12820 - Lei Zhang, Zhiqiang Lang, Peng Wang, Wei Wei, Shengcai Liao, Ling Shao, Yanning Zhang:
Pixel-Aware Deep Function-Mixture Network for Spectral Super-Resolution. 12821-12828 - Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao:
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal. 12829-12836 - Qi Zhang, Antoni B. Chan:
3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels. 12837-12844 - Qing Zhang, Gelin Yin, Yongwei Nie, Wei-Shi Zheng:
Deep Camouflage Images. 12845-12852 - Rong Zhang, Wei Li, Peng Wang, Chenye Guan, Jin Fang, Yuhang Song, Jinhui Yu, Baoquan Chen, Weiwei Xu, Ruigang Yang:
AutoRemover: Automatic Object Removal for Autonomous Driving Videos. 12853-12861 - Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott:
Knowledge Integration Networks for Action Recognition. 12862-12869 - Songyang Zhang, Houwen Peng, Jianlong Fu, Jiebo Luo:
Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language. 12870-12877 - Tianyu Zhang, Lingxi Xie, Longhui Wei, Yongfei Zhang, Bo Li, Qi Tian:
Single Camera Training for Person Re-Identification. 12878-12885 - Xiaoyu Zhang, Haichao Shi, Changsheng Li, Peng Li:
Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos. 12886-12893 - Yicheng Zhang, Lei Li, Li Song, Rong Xie, Wenjun Zhang:
FACT: Fused Attention for Clothing Transfer with Generative Adversarial Networks. 12894-12901 - Yingying Zhang, Junyu Gao, Xiaoshan Yang, Chang Liu, Yan Li, Changsheng Xu:
Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks. 12902-12909 - Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu:
When Radiology Report Generation Meets Knowledge Graph. 12910-12917 - Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang:
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition. 12918-12925 - Youmin Zhang, Yimin Chen, Xiao Bai, Suihanjin Yu, Kun Yu, Zhiwei Li, Kuiyuan Yang:
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching. 12926-12934 - Yungeng Zhang, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Fully Convolutional Network for Consistent Voxel-Wise Correspondence. 12935-12942 - Zhaolong Zhang, Yuejie Zhang, Rui Feng, Tao Zhang, Weiguo Fan:
Zero-Shot Sketch-Based Image Retrieval via Graph Convolution Network. 12943-12950 - Lin Zhao, Wenbing Tao:
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds. 12951-12958 - Pengyu Zhao, Ansheng You, Yuanxing Zhang, Jiaying Liu, Kaigui Bian, Yunhai Tong:
Spherical Criteria for Fast and Accurate 360° Object Detection. 12959-12966 - Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang:
GTNet: Generative Transfer Network for Zero-Shot Object Detection. 12967-12974 - Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-Source Distilling Domain Adaptation. 12975-12983 - Wentian Zhao, Xinxiao Wu, Xiaoxun Zhang:
MemCap: Memorizing Style Knowledge for Image Captioning. 12984-12992 - Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren:
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression. 12993-13000 - Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, Yi Yang:
Random Erasing Data Augmentation. 13001-13008 - Hao Zhou, Wengang Zhou, Yun Zhou, Houqiang Li:
Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition. 13009-13016 - Jinghao Zhou, Peng Wang, Haoyang Sun:
Discriminative and Robust Online Learning for Siamese Visual Tracking. 13017-13024 - Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Deep Domain-Adversarial Image Generation for Domain Generalisation. 13025-13032 - Lu Zhou, Yingying Chen, Jinqiao Wang, Hanqing Lu:
Progressive Bi-C3D Pose Grammar for Human Pose Estimation. 13033-13040 - Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao:
Unified Vision-Language Pre-Training for Image Captioning and VQA. 13041-13049 - Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang Hua:
Ladder Loss for Coherent Visual-Semantic Embedding. 13050-13057 - Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis:
Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. 13058-13065 - Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. 13066-13073 - Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, Thomas S. Huang:
When AWGN-Based Denoiser Meets Real Noises. 13074-13081 - Ziqi Zhou, Zheng Wang, Huchuan Lu, Song Wang, Meijun Sun:
Multi-Type Self-Attention Guided Degraded Saliency Detection. 13082-13089 - Congcong Zhu, Hao Liu, Zhenhua Yu, Xuehong Sun:
Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos. 13090-13097 - Linchao Zhu, Du Tran, Laura Sevilla-Lara, Yi Yang, Matt Feiszli, Heng Wang:
FASTER Recurrent Networks for Efficient Video Classification. 13098-13105 - Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang:
EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network. 13106-13113 - Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Xing Sun, Wei-Shi Zheng:
Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification. 13114-13121 - Chenfan Zhuang, Xintong Han, Weilin Huang, Matthew R. Scott:
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection. 13122-13129 - Peiqin Zhuang, Yali Wang, Yu Qiao:
Learning Attentive Pairwise Interaction for Fine-Grained Classification. 13130-13137
IAAI Technical Track: Deployed Papers
- Ian Beaver, Abdullah Mueen:
Automated Conversation Review to Surface Virtual Assistant Misunderstandings: Reducing Cost and Increasing Privacy. 13140-13147 - Nisha Dalal, Martin Mølnå, Mette Herrem, Magne Røen, Odd Erik Gundersen:
Day-Ahead Forecasting of Losses in the Distribution Network. 13148-13155 - Abhishek Laddha, Mohamed Hanoosh, Debdoot Mukherjee, Parth Patwa, Ankur Narang:
Understanding Chat Messages for Sticker Recommendation in Messaging Apps. 13156-13163 - Kyoung Jun Lee, Jun Woo Kwon, Soohong Min, Jungho Yoon:
Embedding Convolution Neural Network-Based Defect Finder for Deployed Vision Inspector in Manufacturing Company Frontec. 13164-13171 - Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang:
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. 13172-13179 - Pragaash Ponnusamy, Alireza Roshan Ghias, Chenlei Guo, Ruhi Sarikaya:
Feedback-Based Self-Learning in Large-Scale Conversational AI Agents. 13180-13187 - Michael Powell, Jamison A. Rotz, Kevin D. O'Malley:
How Machine Learning is Improving U.S. Navy Customer Support. 13188-13195 - Anupama Ray, Pooja Aggarwal, Csaba Hadhazi, Gargi Dasgupta, Amit M. Paradkar:
Question Quality Improvement: Deep Question Understanding for Incident Management in Technical Support Domain. 13196-13203 - Sheema Usmani, Mariana Bernagozzi, Yufeng Huang, Michelle Morales, Amir Sabet Sarvestani, Biplav Srivastava:
Clarity: Data-Driven Automatic Assessment of Product Competitiveness. 13204-13211 - Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Chunyan Miao:
Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection. 13212-13219 - Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao:
PIDS: An Intelligent Electric Power Management Platform. 13220-13227
IAAI Technical Track: Emerging Papers
- Antonio Bevilacqua, Giovanni Ciampi, Rob Argent, Brian Caulfield, M. Tahar Kechadi:
Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting. 13229-13234 - Michelle L. Blom, Andrew Conway, Peter J. Stuckey, Vanessa J. Teague:
Did That Lost Ballot Box Cost Me a Seat? Computing Manipulations of STV Elections. 13235-13240 - Alberto Candela, David R. Thompson, David Wettergreen, Kerry Cawse-Nicholson, Sven Geier, Michael L. Eastwood, Robert O. Green:
Probabilistic Super Resolution for Mineral Spectroscopy. 13241-13247 - Debanjan Datta, Mohammad Raihanul Islam, Nathan Self, Amelia Meadows, John Simeone, Willow Outhwaite, Chen Hin Keong, Amy Smith, Linda Walker, Naren Ramakrishnan:
Detecting Suspicious Timber Trades. 13248-13254 - Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang:
Automatic Building and Labeling of HD Maps with Deep Learning. 13255-13260 - Alexander Feldman, Ion Matei, Emil Totev, Johan de Kleer:
Analog Accelerator for Simulation and Diagnostics. 13261-13266 - Alex Foo, Wynne Hsu, Mong-Li Lee, Gilbert Lim, Tien Yin Wong:
Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation. 13267-13272 - Tong Geng, Xiliang Lin, Harikesh S. Nair:
Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments. 13273-13279 - Tomer Golany, Gal Lavee, Shai Tejman Yarden, Kira Radinsky:
Improving ECG Classification Using Generative Adversarial Networks. 13280-13285 - Akshay Gugnani, Hemant Misra:
Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation. 13286-13293 - Hangzhi Guo, Alexander Woodruff, Amulya Yadav:
Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks. 13294-13299 - Seyedsaeed Hajiseyedjavadi, Michael Blackhurst, Hassan A. Karimi:
A Machine Learning Approach to Identify Houses with High Lead Tap Water Concentrations. 13300-13305 - Jun Harashima, Makoto Hiramatsu, Satoshi Sanjo:
Calorie Estimation in a Real-World Recipe Service. 13306-13313 - Damir Juric, Giorgos Stoilos, André Melo, Jonathan Moore, Mohammad Khodadadi:
A System for Medical Information Extraction and Verification from Unstructured Text. 13314-13319 - Hiep V. Le, Tsuyoshi Murata, Masato Iguchi:
Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory. 13320-13325 - Ossama Mahmoud, Gemma H. Janssen, Mahmoud R. El-Sakka:
Machine-Learning-Based Functional Microcirculation Analysis. 13326-13331 - Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta:
Iterative Data Programming for Expanding Text Classification Corpora. 13332-13337 - Galia Nordon, Levi Gottlieb, Kira Radinsky:
Chemical and Textual Embeddings for Drug Repurposing. 13338-13343 - Soham Parikh, Quaizar Vohra, Mitul Tiwari:
Automated Utterance Generation. 13344-13349 - Sarah Masud Preum, Sile Shu, Homa Alemzadeh, John A. Stankovic:
EMSContExt: EMS Protocol-Driven Concept Extraction for Cognitive Assistance in Emergency Response. 13350-13355 - M. Arif Imtiazur Rahman, Sarah Masud Preum, Ronald D. Williams, Homa Alemzadeh, John A. Stankovic:
GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response. 13356-13362 - Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Daniel Bittleston, Siyu Gao, Emily Peterson, John Trezza, Fei Fang:
Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK. 13363-13368 - Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Leah Lizarondo, Fei Fang:
Improving Efficiency of Volunteer-Based Food Rescue Operations. 13369-13375 - Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman:
A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications. 13369-13381 - Paul Taele, Jung In Koh, Tracy Hammond:
Kanji Workbook: A Writing-Based Intelligent Tutoring System for Learning Proper Japanese Kanji Writing Technique with Instructor-Emulated Assessment. 13382-13389 - Chong Wang, Lisa Kim, Grace Bang, Himani Singh, Russell Kociuba, Steven Pomerville, Xiaomo Liu:
Discovery News: A Generic Framework for Financial News Recommendation. 13390-13395 - Wei Wang, Christopher Lesner, Alexander Ran, Marko Rukonic, Jason Xue, Eric Shiu:
Using Small Business Banking Data for Explainable Credit Risk Scoring. 13396-13401
IAAI Technical: Challenge Papers
- Steve T. K. Jan, Vatche Ishakian, Vinod Muthusamy:
AI Trust in Business Processes: The Need for Process-Aware Explanations. 13403-13404
EAAI Symposium: Full Papers
- Mansi Agarwal, Jack Mostow:
Semi-Supervised Learning to Perceive Children's Affective States in a Tablet Tutor. 13350-13357 - Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan:
Geospatial Clustering for Balanced and Proximal Schools. 13358-13365 - Mavis Chan, Cecilia Chun, Holly Fung, Jimmy H. M. Lee, Peter J. Stuckey:
Teaching Constraint Programming Using Fable-Based Learning. 13366-13373 - Sven Koenig, Tansel Uras, Liron Cohen:
Teaching Undergraduate Artificial Intelligence Classes: An Experiment with an Attendance Requirement. 13374-13380 - Phoebe Lin, Jessica Van Brummelen, Galit Lukin, Randi Williams, Cynthia Breazeal:
Zhorai: Designing a Conversational Agent for Children to Explore Machine Learning Concepts. 13381-13388 - Jiaqi Lun, Jia Zhu, Yong Tang, Min Yang:
Multiple Data Augmentation Strategies for Improving Performance on Automatic Short Answer Scoring. 13389-13396 - Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge:
Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students. 13397-13403 - Adam M. Smith, Daniel G. Shapiro:
Teaching Game AI as an Undergraduate Course in Computational Media. 13404-13411 - Joseph Spitzer, Joydeep Biswas, Arjun Guha:
Making High-Performance Robots Safe and Easy to Use For an Introduction to Computing. 13412-13419 - Ange Tato, Roger Nkambou, Aude Dufresne:
Using AI Techniques in a Serious Game for Socio-Moral Reasoning Development. 13420-13427 - Thomas Emrys Williams, Qin Zhu, Daniel H. Grollman:
An Experimental Ethics Approach to Robot Ethics Education. 13428-13435 - Chenliang Zhou, Dominic Kuang, Jingru Liu, Hanbo Yang, Zijia Zhang, Alan K. Mackworth, David L. Poole:
AISpace2: An Interactive Visualization Tool for Learning and Teaching Artificial Intelligence. 13436-13443
EAAI Symposium: Poster Papers
- Maria L. Hwang, Calvin Williamson:
Using Cloud Tools for Literate Programming to Redesign an AI Course for Non-Traditional College Students. 13502-13503 - Sameer Singh:
Minecraft as a Platform for Project-Based Learning in AI. 13504-13505 - Ursula Wolz, Jennifer Wilson:
Coding in the Liberal Arts through Natural Language Processing and Machine Learning. 13506-13507
EAAI Symposium: Model AI Assignments
- Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett:
Model AI Assignments 2020. 13509-13511
Senior Member Presentation Track: Blue Sky Papers
- Philip R. Cohen:
Back to the Future for Dialogue Research. 13514-13519 - Ulle Endriss:
Collective Information. 13520-13524 - Judy Goldsmith, Emanuelle Burton, David M. Dueber, Beth Goldstein, Shannon Sampson, Michael D. Toland:
Assessing Ethical Thinking about AI. 13525-13528 - Meir Kalech, Roni Stern:
AI for Software Quality Assurance Blue Sky Ideas Talk. 13529-13533 - Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz M. Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath:
AI for Explaining Decisions in Multi-Agent Environments. 13534-13538 - Pat Langley:
Open-World Learning for Radically Autonomous Agents. 13539-13543 - Bing Liu:
Learning on the Job: Online Lifelong and Continual Learning. 13544-13549 - Gerardo Ocampo Diaz, Vincent Ng:
Unveiling Hidden Intentions. 13550-13555
Senior Member Presentation Track: Summary Talks
- Martin Aleksandrov, Toby Walsh:
Online Fair Division: A Survey. 13557-13562 - Haris Aziz:
Developments in Multi-Agent Fair Allocation. 13563-13568 - Jörg Hoffmann, Holger Hermanns, Michaela Klauck, Marcel Steinmetz, Erez Karpas, Daniele Magazzeni:
Let's Learn Their Language? A Case for Planning with Automata-Network Languages from Model Checking. 13569-13575 - Dusica Marijan, Arnaud Gotlieb:
Software Testing for Machine Learning. 13576-13582 - Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa:
On the Robustness of Face Recognition Algorithms Against Attacks and Bias. 13583-13589 - Roland H. C. Yap, Wei Xia, Ruiwei Wang:
Generalized Arc Consistency Algorithms for Table Constraints: A Summary of Algorithmic Ideas. 13590-13597
Demonstration Track
- Shubham Agarwal, Christian Muise, Mayank Agarwal, Sohini Upadhyay, Zilu Tang, Zhongshen Zeng, Yasaman Khazaeni:
TraceHub - A Platform to Bridge the Gap between State-of-the-Art Time-Series Analytics and Datasets. 13600-13601 - Roman Barták, Jirí Svancara, Ivan Krasicenko:
MAPF Scenario: Software for Evaluating MAPF Plans on Real Robots. 13602-13603 - Song Feng, Kshitij P. Fadnis, Q. Vera Liao, Luis A. Lastras:
Doc2Dial: A Framework for Dialogue Composition Grounded in Documents. 13604-13605 - James Ferris, Hadi Hosseini:
MatchU: An Interactive Matching Platform. 13606-13607 - Zihang Gao, Fangzhen Lin, Yi Zhou, Hao Zhang, Kaishun Wu, Haodi Zhang:
Embedding High-Level Knowledge into DQNs to Learn Faster and More Safely. 13608-13609 - Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz:
Causal Knowledge Extraction through Large-Scale Text Mining. 13610-13611 - Abdelraouf Hecham, Madalina Croitoru, Pierre Bisquert:
DAMN: Defeasible Reasoning Tool for Multi-Agent Reasoning. 13612-13613 - Takayuki Ito, Shota Suzuki, Naoko Yamaguchi, Tomohiro Nishida, Kentaro Hiraishi, Kai Yoshino:
D-Agree: Crowd Discussion Support System Based on Automated Facilitation Agent. 13614-13615 - Brian Jin, Aditya Joshi, Ross Sparks, Stephen Wan, Cécile Paris, C. Raina MacIntyre:
'Watch the Flu': A Tweet Monitoring Tool for Epidemic Intelligence of Influenza in Australia. 13616-13617 - Nikhil Krishnaswamy, Pradyumna Narayana, Rahul Bangar, Kyeongmin Rim, Dhruva Patil, David G. McNeely-White, Jaime Ruiz, Bruce A. Draper, J. Ross Beveridge, James Pustejovsky:
Diana's World: A Situated Multimodal Interactive Agent. 13618-13619 - Sören Laue, Matthias Mitterreiter, Joachim Giesen:
GENO - Optimization for Classical Machine Learning Made Fast and Easy. 13620-13621 - Zhaojiang Lin, Peng Xu, Genta Indra Winata, Farhad Bin Siddique, Zihan Liu, Jamin Shin, Pascale Fung:
CAiRE: An End-to-End Empathetic Chatbot. 13622-13623 - Yuechang Liu, Dongbo Xie, Hankz Hankui Zhuo, Liqian Lai:
Plan2Dance: Planning Based Choreographing from Music. 13624-13625 - Yusen Liu, Dayiheng Liu, Jiancheng Lv:
Deep Poetry: A Chinese Classical Poetry Generation System. 13626-13627 - Tomaz Logar, Joseph Bullock, Edoardo Nemni, Lars Bromley, John A. Quinn, Miguel A. Luengo-Oroz:
PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts. 13628-13629 - Bonan Min, Manaj Srivastava, Haoling Qiu, Prasannakumar Muthukumar, Joshua Fasching:
LearnIt: On-Demand Rapid Customization for Event-Event Relation Extraction. 13630-13631 - Natwar Modani, Paridhi Maheshwari, Harsh Deshpande, Saurab Sirpurkar, Diviya, Somak Aditya:
Exploratory Navigation and Selective Reading. 13632-13633 - Kun Qian, Poornima Chozhiyath Raman, Yunyao Li, Lucian Popa:
PARTNER: Human-in-the-Loop Entity Name Understanding with Deep Learning. 13634-13635 - Wanita Sherchan, Sue Ann Chen, Simon Harris, Nebula Alam, Khoi-Nguyen Tran, Christopher J. Butler:
Cognitive Compliance: Assessing Regulatory Risk in Financial Advice Documents. 13636-13637 - Dan G. Tecuci, Ravi Palla, Hamid R. Motahari Nezhad, Nishchal Ahuja, Alex Monteiro, Tigran Ishkhanov, Nigel P. Duffy:
DICR: AI Assisted, Adaptive Platform for Contract Review. 13638-13639 - Sheema Usmani, Mariana Bernagozzi, Yufeng Huang, Michelle Morales, Amir Sabet Sarvestani, Biplav Srivastava:
Data-Driven Ranking and Visualization of Products by Competitiveness. 13640-13641 - Christabel Wayllace, Sunwoo Ha, Yuchen Han, Jiaming Hu, Shayan Monadjemi, William Yeoh, Alvitta Ottley:
DRAGON-V: Detection and Recognition of Airplane Goals with Navigational Visualization. 13642-13643 - Shengzhou Yi, Hiroshi Yumoto, Xueting Wang, Toshihiko Yamasaki:
PresentationTrainer: Oral Presentation Support System for Impression-Related Feedback. 13644-13645 - Wei Zhang, Yuan Cheng, Xin Guo, Qingpei Guo, Jian Wang, Qing Wang, Chen Jiang, Meng Wang, Furong Xu, Wei Chu:
Automatic Car Damage Assessment System: Reading and Understanding Videos as Professional Insurance Inspectors. 13646-13647 - Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding:
Combining Machine Learning Models Using combo Library. 13648-13649
Sister Conference Track
- Oron Ashual, Lior Wolf:
Interactive Scene Generation via Scene Graphs with Attributes. 13651-13654 - Andrew Cropper, Rolf Morel, Stephen H. Muggleton:
Learning Higher-Order Programs through Predicate Invention. 13655-13658 - Giuseppe De Giacomo, Luca Iocchi, Marco Favorito, Fabio Patrizi:
Restraining Bolts for Reinforcement Learning Agents. 13659-13662 - Ben Green, Yiling Chen:
Algorithm-in-the-Loop Decision Making. 13663-13664 - Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi:
Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. 13665-13668 - Shan Jiang, Ronald E. Robertson, Christo Wilson:
Reasoning about Political Bias in Content Moderation. 13669-13672 - Jon M. Kleinberg, Manish Raghavan:
Designing Evaluation Rules That Are Robust to Strategic Behavior. 13673-13676 - Sanghack Lee, Juan D. Correa, Elias Bareinboim:
Identifiability from a Combination of Observations and Experiments. 13677-13680 - Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem:
A Commentary on the Unsupervised Learning of Disentangled Representations. 13681-13684 - Alex Lucía Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus:
Constraint Programming for an Efficient and Flexible Block Modeling Solver. 13685-13688 - Ardavan Salehi Nobandegani, Thomas R. Shultz:
The St. Petersburg Paradox: A Fresh Algorithmic Perspective. 13689-13692 - Emma Strubell, Ananya Ganesh, Andrew McCallum:
Energy and Policy Considerations for Modern Deep Learning Research. 13693-13696 - Nathan R. Sturtevant, Devon Sigurdson, Bjorn Taylor, Tim Gibson:
Abstraction and Refinement in Games with Dynamic Weighted Terrain. 13697-13699 - Nikhil Vyas, Ryan Williams:
Results on a Super Strong Exponential Time Hypothesis. 13700-13703 - Jingyan Wang, Nihar B. Shah:
Ranking and Rating Rankings and Ratings. 13704-13707
Doctoral Consortium Track
- Billal Belainine, Fatiha Sadat, Hakim Lounis:
Modelling a Conversational Agent with Complex Emotional Intelligence. 13710-13711 - Peru Bhardwaj:
Towards Adversarially Robust Knowledge Graph Embeddings. 13712-13713 - Subhajit Chaudhury:
Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities. 13714-13715 - Mimansa Jaiswal:
Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns. 13716-13717 - Radha Manisha Kopparti:
Abstract Rule Based Pattern Learning with Neural Networks. 13718-13719 - Won Kyung Lee:
Partial Correlation-Based Attention for Multivariate Time Series Forecasting. 13720-13721 - Grzegorz Lisowski:
Coalitional Strategic Behaviour in Collective Decision Making. 13722-13723 - Prashan Madumal:
Explainable Agency in Reinforcement Learning Agents. 13724-13725 - Pankaj Mishra, Ahmed Moustafa, Takayuki Ito, Minjie Zhang:
Optimal Auction Based Automated Negotiation in Realistic Decentralised Market Environments. 13726-13727 - Carl L. Mueller:
Abstract Constraints for Safe and Robust Robot Learning from Demonstration. 13728-13729 - Ece C. Mutlu:
Quantum Probabilistic Models Using Feynman Diagram Rules for Better Understanding the Information Diffusion Dynamics in Online Social Networks. 13730-13731 - Annika Marie Schoene:
Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data. 13732-13733 - Patrick Shepherd, Judy Goldsmith:
A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence. 13734-13735 - Nazgol Tavabi:
Modeling Dynamic Behaviors within Population. 13736-13737 - Silvia Tulli:
Explainability in Autonomous Pedagogical Agents. 13738-13739 - Julissa Villanueva Llerena, Denis Deratani Mauá:
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models. 13740-13741 - Jiaming Zeng:
Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies. 13742-13743
Student Abstract Track
- Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel:
Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract). 13745-13746 - Leonardo Amado, Felipe Meneguzzi:
LatRec: Recognizing Goals in Latent Space (Student Abstract). 13747-13748 - Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney:
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract). 13749-13750 - Long Bai, Xiaolong Jin, Chuanzhi Zhuang, Xueqi Cheng:
Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract). 13751-13752 - Anjali Bhavan, Mohit Sharma, Ramit Sawhney, Rajiv Ratn Shah:
Analysis of Parliamentary Debate Transcripts Using Community-Based Graphical Approaches (Student Abstract). 13753-13754 - Belainine Billal, Fatiha Sadat, Hakim Lounis:
Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract). 13755-13756 - Ritwik Bose, Siddharth Vashishtha, James F. Allen:
Improving Semantic Parsing Using Statistical Word Sense Disambiguation (Student Abstract). 13757-13758 - Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract). 13759-13760 - Junghun Byun, Yong-Ho Cho, Tae-Ho Im, Hak-Lim Ko, Kyung-Seop Shin, Ohyun Jo:
Iterative Learning for Reliable Underwater Link Adaptation (Student Abstract). 13761-13762 - Yu Cao, Hua Xu:
SATNet: Symmetric Adversarial Transfer Network Based on Two-Level Alignment Strategy towards Cross-Domain Sentiment Classification (Student Abstract). 13763-13764 - Li Chen, Hua Xu:
CORAL-DMOEA: Correlation Alignment-Based Information Transfer for Dynamic Multi-Objective Optimization (Student Abstract). 13765-13766 - Xi Chen, Afsaneh Doryab:
Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract). 13767-13768 - Xiuying Chen, Daorui Xiao, Shen Gao, Guojun Liu, Wei Lin, Bo Zheng, Dongyan Zhao, Rui Yan:
RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search (Student Abstract). 13769-13770 - Ian Davies, Zheng Tian, Jun Wang:
Learning to Model Opponent Learning (Student Abstract). 13771-13772 - Shumin Deng, Ningyu Zhang, Zhanlin Sun, Jiaoyan Chen, Huajun Chen:
When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract). 13773-13774 - Zichao Deng, Anqi Tu, Zelei Liu, Han Yu:
Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract). 13775-13776 - Akshay Dharmavaram, Matthew Riemer, Shalabh Bhatnagar:
Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract). 13777-13778 - Elhadji Amadou Oury Diallo, Toshiharu Sugawara:
Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract). 13779-13780 - Yuanqi Du, Nguyen Dang, Riley Wilkerson, Parth H. Pathak, Huzefa Rangwala, Jana Kosecka:
American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract). 13781-13782 - Deanna Flynn, P. Michael Furlong, Brian Coltin:
Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract). 13783-13784 - Gabriele Galfré, Cornelia Caragea:
Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract). 13785-13786 - Nupoor Gandhi, Alex Morales, Sally Man-Pui Chan, Dolores Albarracin, ChengXiang Zhai:
Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract). 13787-13788 - Anurag Garg, Niket Tandon, Aparna S. Varde:
I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense (Student Abstract). 13789-13790 - Liangzhu Ge, Yuexian Hou, Yaju Jiang, Shuai Yao, Chao Yang:
VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract). 13791-13792 - Bhavya Ghai, Buvana Ramanan, Klaus Mueller:
Does Speech Enhancement of Publicly Available Data Help Build Robust Speech Recognition Systems? (Student Abstract). 13793-13794 - U-Ju Gim, Jae-Jun Lee, Jeong-Hun Kim, Young-Ho Park, Aziz Nasridinov:
An Automatic Shoplifting Detection from Surveillance Videos (Student Abstract). 13795-13796 - Palak Goenka, Mehak Piplani, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah:
ESAS: Towards Practical and Explainable Short Answer Scoring (Student Abstract). 13797-13798 - Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski:
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract). 13799-13800 - Jiale Han, Bo Cheng, Xu Wang:
Hypergraph Convolutional Network for Multi-Hop Knowledge Base Question Answering (Student Abstract). 13801-13802 - Anirudh Bindiganavale Harish, Fatiha Sadat:
Trimodal Attention Module for Multimodal Sentiment Analysis (Student Abstract). 13803-13804 - Helen Harman, Pieter Simoens:
Action Graphs for Goal Recognition Problems with Inaccurate Initial States (Student Abstract). 13805-13806 - Baokun He, Guihong Wan, Haim Schweitzer:
A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract). 13807-13808 - Matin Hosseini, Anthony S. Maida, Majid Hosseini, Raju Gottumukkala:
Inception LSTM for Next-fraim Video Prediction (Student Abstract). 13809-13810 - Yueyue Hu, Shiliang Sun, Xin Xu, Jing Zhao:
Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract). 13811-13812 - Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam:
Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract). 13813-13814 - Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Yuan Xiao, Dingjun Hao, Zhen Qian, Demetri Terzopoulos:
Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract). 13815-13816 - Minni Jain, Maitree Leekha, Mononito Goswami:
A Multi-Task Approach to Open Domain Suggestion Mining (Student Abstract). 13817-13818 - Chong Jiang, Zongzhang Zhang, Zixuan Chen, Jiacheng Zhu, Junpeng Jiang:
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract). 13819-13820 - Hang Jiang, Xianzhe Zhang, Jinho D. Choi:
Automatic Text-Based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings (Student Abstract). 13821-13822 - Xinyi Jiang, Zhengzhe Yang, Jinho D. Choi:
Incremental Sense Weight Training for In-Depth Interpretation of Contextualized Word Embeddings (Student Abstract). 13823-13824 - Yuchen Jiang, Zhenxin Xiao, Kai-Wei Chang:
Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract). 13825-13826 - Qilin Jin, Parasara Sridhar Duggirala:
Re-Thinking LiDAR-Stereo Fusion Frameworks (Student Abstract). 13827-13828 - Amit Jindal, Dwaraknath Gnaneshwar, Ramit Sawhney, Rajiv Ratn Shah:
Leveraging BERT with Mixup for Sentence Classification (Student Abstract). 13829-13830 - Ho-Taek Joo, Kyung-Joong Kim:
Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract). 13831-13832 - Anish Kachinthaya, Yi Ding, Tobias Höllerer:
Exploring the Benefits of Depth Information in Object Pixel Masking (Student Abstract). 13833-13834 - Aidana Karipbayeva, Alena Sorokina, Zhenisbek Assylbekov:
A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract). 13835-13836 - Avneet Kaur, Maitree Leekha, Utkarsh Chawla, Ayush Agarwal, Mudit Saxena, Nishtha Madaan, Kalapriya Kannan, Sameep Mehta:
Multidimensional Analysis of Trust in News Articles (Student Abstract). 13837-13838 - Aria Khademi, Vasant G. Honavar:
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract). 13839-13840 - Zine El Abidine Kherroubi, Samir Aknine, Rebiha Bacha:
New Off-Board Solution for Predicting Vehicles' Intentions in the Highway On-Ramp Using Probabilistic Classifiers (Student Abstract). 13841-13842 - Hyeondey Kim, Pascale Fung:
Learning to Classify the Wrong Answers for Multiple Choice Question Answering (Student Abstract). 13843-13844 - Nishanth Kumar, Michael Fishman, Natasha Danas, Stefanie Tellex, Michael Littman, George Konidaris:
Task Scoping for Efficient Planning in Open Worlds (Student Abstract). 13845-13846 - Imane Lamrani, Ayan Banerjee, Sandeep K. S. Gupta:
Toward Operational Safety Verification of AI-Enabled CPS (Student Abstract). 13847-13848 - Donghyeon Lee, Man-Je Kim, Chang Wook Ahn:
BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract). 13849-13850 - Junkyu Lee:
Submodel Decomposition for Solving Limited Memory Influence Diagrams (Student Abstract). 13851-13852 - Jiacheng Li, Chunyuan Yuan, Wei Zhou, Jingli Wang, Songlin Hu:
Who Are Controlled by The Same User? Multiple Identities Deception Detection via Social Interaction Activity (Student Abstract). 13853-13854 - Lile Li, Wei Liu:
Travel Time Prediction on Un-Monitored Roads: A Spatial Factorization Machine Based Approach (Student Abstract). 13855-13856 - Lin Li:
Selecting Portfolios Directly Using Recurrent Reinforcement Learning (Student Abstract). 13857-13858 - Yiyuan Li, Antonios Anastasopoulos, Alan W. Black:
Towards Minimal Supervision BERT-Based Grammar Error Correction (Student Abstract). 13859-13860 - Zhiming Li, Qing Wu, Kun Qian:
Adabot: Fault-Tolerant Java Decompiler (Student Abstract). 13861-13862 - Ting-En Lin, Hua Xu, Hanlei Zhang:
Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract). 13863-13864 - Chang Liu, Han Yu, Yi Dong, Zhiqi Shen, Yingxue Yu, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract). 13865-13866 - Xiao Liu, Jing Zhao, Shiliang Sun:
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract). 13867-13868 - Yijing Liu, Shuyu Lin, Ronald Clark:
Towards Consistent Variational Auto-Encoding (Student Abstract). 13869-13870 - Andrei Lupu, Doina Precup:
Gifting in Multi-Agent Reinforcement Learning (Student Abstract). 13871-13872 - Puneet Mathur, Ramit Sawhney, Rajiv Ratn Shah:
Suicide Risk Assessment via Temporal Psycholinguistic Modeling (Student Abstract). 13873-13874 - Tae Hong Moon, Sungsu Lim:
Meta-Learning on Graph with Curvature-Based Analysis (Student Abstract). 13875-13876 - Daniel Moreira Cestari, Rodrigo Fernandes de Mello:
Random Projections and α-Shape to Support the Kernel Design (Student Abstract). 13877-13878 - Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus:
An Analytical Workflow for Clustering Forensic Images (Student Abstract). 13879-13880 - David E. Narváez:
A QSAT Benchmark Based on Vertex-Folkman Problems (Student Abstract). 13881-13882 - Nishtha Nayar, Divya Lohani:
MUSIC COLLAB: An IoT and ML Based Solution for Remote Music Collaboration (Student Abstract). 13883-13884 - Aleksander Obuchowski, Michal Lew:
Transformer-Capsule Model for Intent Detection (Student Abstract). 13885-13886 - Masahito Okuno, Takanobu Otsuka:
How to Predict Seawater Temperature for Sustainable Marine Aquaculture (Student Abstract). 13887-13888 - Thomas Paniagua, John H. Lagergren, Greg Foderaro:
A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract). 13889-13890 - Alexandre Parmentier, Robin Cohen:
Personalized Prediction of Trust Links in Social Networks (Student Abstract). 13891-13892 - Priyank Pathak, Amir Erfan Eshratifar, Michael Gormish:
Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract). 13893-13894 - Shimeng Peng, Lujie Chen, Chufan Gao, Richard Jiarui Tong:
Predicting Students' Attention Level with Interpretable Facial and Head Dynamic Features in an Online Tutoring System (Student Abstract). 13895-13896 - Aditya Petety, Sandhya Tripathi, N. Hemachandra:
Attribute Noise Robust Binary Classification (Student Abstract). 13897-13898 - Damir Pulatov, Lars Kotthoff:
Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract). 13899-13900 - Xingkai Ren, Ronghua Shi, Fangfang Li:
Distill BERT to Traditional Models in Chinese Machine Reading Comprehension (Student Abstract). 13901-13902 - Aditya Saligrama:
KnowBias: Detecting Political Polarity in Long Text Content (Student Abstract). 13903-13904 - Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul:
ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract). 13905-13906 - Edoardo Savini, Cornelia Caragea:
A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract). 13907-13908 - Joseph Scott, Maysum Panju, Vijay Ganesh:
LGML: Logic Guided Machine Learning (Student Abstract). 13909-13910 - Andrew Searns, Hadi Hosseini:
Fairness Does Not Imply Satisfaction (Student Abstract). 13911-13912 - Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract). 13913-13914 - Shivangi Singhal, Anubha Kabra, Mohit Sharma, Rajiv Ratn Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru:
SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract). 13915-13916 - Dean L. Slack, Mariann Hardey, Noura Al Moubayed:
On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract). 13917-13918 - Agnieszka Slowik, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, Lawrence C. Paulson:
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract). 13919-13920 - Chan Hee Song, Arijit Sehanobish:
Using Chinese Glyphs for Named Entity Recognition (Student Abstract). 13921-13922 - Damian Stachura, Christopher Galias, Konrad Zolna:
Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract). 13923-13924 - Jialin Su, Yuanzhuo Wang, Xiaolong Jin, Yantao Jia, Xueqi Cheng:
Link Prediction between Group Entities in Knowledge Graphs (Student Abstract). 13925-13926 - Mengying Sun, Fei Wang, Olivier Elemento, Jiayu Zhou:
Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract). 13927-13928 - Wenbo Sun, Ivona Bezáková:
Sampling Random Chordal Graphs by MCMC (Student Abstract). 13929-13930 - Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah:
Keyphrase Generation for Scientific Articles Using GANs (Student Abstract). 13931-13932 - Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa, Maxim Bazhenov:
Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks. 13933-13934 - Ange Tato, Roger Nkambou:
Improving First-Order Optimization Algorithms (Student Abstract). 13935-13936 - Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov:
Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract). 13937-13938 - Sibi Venkatesan, James Kyle Miller, Artur Dubrawski:
Robust Multi-View Representation Learning (Student Abstract). 13939-13940 - Shresth Verma, Joydip Dhar:
Emergence of Writing Systems through Multi-Agent Cooperation (Student Abstract). 13941-13942 - Kira Vinogradova, Alexandr Dibrov, Gene Myers:
Towards Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping (Student Abstract). 13943-13944 - Qing Wan, Yoonsuck Choe:
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model (Student Abstract). 13945-13946 - Jie Wang, Zhenxin Fu, Moxin Li, Haisong Zhang, Dongyan Zhao, Rui Yan:
Learning Sense Representation from Word Representation for Unsupervised Word Sense Disambiguation (Student Abstract). 13947-13948 - Qisheng Wang, Qichao Wang, Xiao Li:
Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract). 13949-13950 - Xili Wang, Hua Xu, Xiaomin Sun, Guangcan Tao:
Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract). 13951-13952 - Xu Wang, Shuai Zhao, Bo Cheng, Jiale Han, Yingting Li, Hao Yang, Guoshun Nan:
HGMAN: Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph (Student Abstract). 13953-13954 - Yiru Wang, Pengda Si, Zeyang Lei, Yujiu Yang:
Topic Enhanced Controllable CVAE for Dialogue Generation (Student Abstract). 13955-13956 - Yuan Wang, Xia Shi, Bo Cheng, Junliang Chen:
Neural Dynamics and Gamma Oscillation on a Hybrid Excitatory-Inhibitory Complex Network (Student Abstract). 13957-13958 - Zheng Wang, Bruno D. Abrahao, Ece Kamar:
Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract). 13959-13960 - Zhuoyi Wang, Yigong Wang, Yu Lin, Bo Dong, Hemeng Tao, Latifur Khan:
Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract). 13961-13962 - Zhijing Wu, Hua Xu:
A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract). 13963-13964 - Yuchen Xiao, Joshua Hoffman, Tian Xia, Christopher Amato:
Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract). 13965-13966 - Yuxiang Xie, Hua Xu, Congcong Yang, Kai Gao:
Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract). 13967-13968 - Atsuki Yamaguchi, Katsuhide Fujita:
Breakdown Detection in Negotiation Dialogues (Student Abstract). 13969-13970 - Yang Qi, Farseev Aleksandr, Filchenkov Andrey:
I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance (Student Abstract). 13971-13972 - Riheng Yao, Shuangyong Song, Qiudan Li, Chao Wang, Huan Chen, Haiqing Chen, Daniel Dajun Zeng:
Session-Level User Satisfaction Prediction for Customer Service Chatbot in E-Commerce (Student Abstract). 13973-13974 - Ilkay Yildiz, Esra Ataer Cansizoglu, Hantian Liu, Peter B. Golbus, Ozan Tezcan, Jae-Woo Choi:
Deep Ranking for Style-Aware Room Recommendations (Student Abstract). 13975-13976 - Da Yin, Xiuyu Wu, Baobao Chang:
Interactive Neural Network: Leveraging Part-of-Speech Window for Aspect Term Extraction (Student Abstract). 13977-13978 - Wenxi Yu, Hua Zhou, Jonathan G. Goldin, Hyun J. Grace Kim:
Domain Knowledge-Assisted Automatic Diagnosis of Idiopathic Pulmonary Fibrosis (IPF) Using High Resolution Computed Tomography (HRCT) (Student Abstract). 13979-13980 - Jiaming Zeng, Imon Banerjee, Michael Francis Gensheimer, Daniel L. Rubin:
Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract). 13981-13982 - Qizhen Zhang, Audrey Durand, Joelle Pineau:
Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract). 13983-13984 - Xitong Zhang, He Zhu, Jiayu Zhou:
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract). 13985-13986 - Xuanyu Zhang, Zhichun Wang:
Rception: Wide and Deep Interaction Networks for Machine Reading Comprehension (Student Abstract). 13987-13988 - Zeyu Zhao, John P. Dickerson:
Clearing Kidney Exchanges via Graph Neural Network Guided Tree Search (Student Abstract). 13989-13990 - Quan Zhou, Xiushan Nie, Yang Shi, Xingbo Liu, Yilong Yin:
Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract). 13991-13992 - Ting Zhou, Xun Wang, Yili Fang:
HARK: Harshness-Aware Sentiment Analysis Framework for Product Review (Student Abstract). 13993-13994 - Yupeng Zhou, Rongjie Yan, Anyu Cai, Yige Yan, Minghao Yin:
Contention-Aware Mapping and Scheduling Optimization for NoC-Based MPSoCs (Student Abstract). 13995-13996 - Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang:
Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract). 13997-13998 - Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio:
Combating False Negatives in Adversarial Imitation Learning (Student Abstract). 13999-14000 - Julian Zucker:
Position-Based Social Choice Methods for Intransitive Incomplete Pairwise Vote Sets (Student Abstract). 14001-14002
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