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ORCIDKibok Lee 0003
Person information
- affiliation: Yonsei University, Korea
- affiliation (former): University of Michigan, USA
Other persons with the same name
- Kibok Lee 0001
![[0000-0002-9336-1408]](https://images.weserv.nl/?url=https%3A%2F%2Fdblp.uni-trier.de%2Fimg%2Forcid-mark.12x12.png&q=12&output=webp&max-age=110 "0000-0002-9336-1408")
— Incheon National University, Mechatronics Department, Korea (and 2 more) - Kibok Lee 0002 — Samsung Electronics, DMC R&D Center, MultiMedia R&D Team, Korea (and 1 more)
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2020 – today
- 2026
[j1]Nathaniel Kang, Kibok Lee, Jongho Im:
Calibrated mixup for imbalanced regression on tabular data. Pattern Recognit. 172: 112610 (2026)- 2025
- [c21]Jungkyu Kim, Kibok Lee, Taeyoung Park:
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation. AAAI 2025: 17886-17894 - [c20]Chungpa Lee, Jeongheon Oh, Kibok Lee, Jy-yong Sohn:
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning. AISTATS 2025: 487-495 - [c19]Chungpa Lee, Sehee Lim, Kibok Lee, Jy-yong Sohn:
On the Similarities of Embeddings in Contrastive Learning. ICML 2025 - [c18]Seunghan Lee, Taeyoung Park, Kibok Lee:
Channel Normalization for Time Series Channel Identification. ICML 2025 - [i26]Chungpa Lee, Jeongheon Oh, Kibok Lee, Jy-yong Sohn:
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning. CoRR abs/2503.08203 (2025) - [i25]Seunghan Lee, Taeyoung Park, Kibok Lee:
Channel Normalization for Time Series Channel Identification. CoRR abs/2506.00432 (2025) - [i24]Chungpa Lee, Sehee Lim, Kibok Lee, Jy-yong Sohn:
On the Similarities of Embeddings in Contrastive Learning. CoRR abs/2506.09781 (2025) - [i23]Seungju Yoo, Hyuk Kwon, Joong-Won Hwang, Kibok Lee:
Automated Model Evaluation for Object Detection via Prediction Consistency and Reliablity. CoRR abs/2508.12082 (2025) - [i22]Jaebyeong Jeon, Hyeonseo Jang, Jy-yong Sohn, Kibok Lee:
Soft Task-Aware Routing of Experts for Equivariant Representation Learning. CoRR abs/2510.27222 (2025) - 2024
- [c17]Seunghan Lee, Taeyoung Park, Kibok Lee:
Soft Contrastive Learning for Time Series. ICLR 2024 - [c16]Seunghan Lee, Taeyoung Park, Kibok Lee:
Learning to Embed Time Series Patches Independently. ICLR 2024 - [c15]Jeongheon Oh, Kibok Lee:
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning. ICML 2024 - [c14]Seunghan Lee, Kibok Lee, Taeyoung Park:
ANT: Adaptive Noise Schedule for Time Series Diffusion Models. NeurIPS 2024 - [i21]Seongheon Park, Hyuk Kwon, Kwanghoon Sohn, Kibok Lee:
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference. CoRR abs/2405.20829 (2024) - [i20]Jeongheon Oh, Kibok Lee:
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning. CoRR abs/2406.10815 (2024) - [i19]Seunghan Lee, Kibok Lee, Taeyoung Park:
ANT: Adaptive Noise Schedule for Time Series Diffusion Models. CoRR abs/2410.14488 (2024) - [i18]Seunghan Lee, Taeyoung Park, Kibok Lee:
Partial Channel Dependence with Channel Masks for Time Series Foundation Models. CoRR abs/2410.23222 (2024) - [i17]Seunghan Lee, Juri Hong, Kibok Lee, Taeyoung Park:
Sequential Order-Robust Mamba for Time Series Forecasting. CoRR abs/2410.23356 (2024) - [i16]Jungkyu Kim, Kibok Lee, Taeyoung Park:
To Predict or Not To Predict? Proportionally Masked Autoencoders for Tabular Data Imputation. CoRR abs/2412.19152 (2024) - 2023
- [i15]Seunghan Lee, Taeyoung Park, Kibok Lee:
Soft Contrastive Learning for Time Series. CoRR abs/2312.16424 (2023) - [i14]Seunghan Lee, Taeyoung Park, Kibok Lee:
Learning to Embed Time Series Patches Independently. CoRR abs/2312.16427 (2023) - 2022
- [c13]Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer:
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark. ECCV (20) 2022: 366-382 - [i13]Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer:
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark. CoRR abs/2207.11169 (2022) - [i12]Achin Jain, Kibok Lee, Gurumurthy Swaminathan, Hao Yang, Bernt Schiele, Avinash Ravichandran, Onkar Dabeer:
ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers. CoRR abs/2209.05654 (2022) - 2021
- [c12]Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee:
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning. ICLR 2021 - [c11]Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin:
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. NeurIPS 2021: 17710-17722 - [i11]Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin:
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. CoRR abs/2111.09613 (2021) - 2020
- [b1]Kibok Lee:
Robust Deep Learning in the Open World with Lifelong Learning and Representation Learning. University of Michigan, USA, 2020 - [c10]Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee:
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning. ICLR 2020 - [i10]Kibok Lee, Zhuoyuan Chen, Xinchen Yan, Raquel Urtasun, Ersin Yumer:
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds. CoRR abs/2005.11626 (2020) - [i9]Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee:
i-Mix: A Strategy for Regularizing Contrastive Representation Learning. CoRR abs/2010.08887 (2020)
2010 – 2019
- 2019
- [c9]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Incremental Learning with Unlabeled Data in the Wild. CVPR Workshops 2019: 29-32 - [c8]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild. ICCV 2019: 312-321 - [c7]Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin:
Robust Inference via Generative Classifiers for Handling Noisy Labels. ICML 2019: 3763-3772 - [i8]Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin:
Robust Inference via Generative Classifiers for Handling Noisy Labels. CoRR abs/1901.11300 (2019) - [i7]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Incremental Learning with Unlabeled Data in the Wild. CoRR abs/1903.12648 (2019) - [i6]Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee:
A Simple Randomization Technique for Generalization in Deep Reinforcement Learning. CoRR abs/1910.05396 (2019) - 2018
- [c6]Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee:
Hierarchical Novelty Detection for Visual Object Recognition. CVPR 2018: 1034-1042 - [c5]Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin:
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. ICLR (Poster) 2018 - [c4]Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin:
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. NeurIPS 2018: 7167-7177 - [i5]Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee:
Hierarchical Novelty Detection for Visual Object Recognition. CoRR abs/1804.00722 (2018) - [i4]Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin:
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. CoRR abs/1807.03888 (2018) - 2017
- [c3]Anna C. Gilbert, Yi Zhang, Kibok Lee, Yuting Zhang, Honglak Lee:
Towards Understanding the Invertibility of Convolutional Neural Networks. IJCAI 2017: 1703-1710 - [i3]Anna C. Gilbert, Yi Zhang, Kibok Lee, Yuting Zhang, Honglak Lee:
Towards Understanding the Invertibility of Convolutional Neural Networks. CoRR abs/1705.08664 (2017) - [i2]Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin:
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. CoRR abs/1711.09325 (2017) - 2016
- [c2]Yuting Zhang, Kibok Lee, Honglak Lee:
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification. ICML 2016: 612-621 - [i1]Yuting Zhang, Kibok Lee, Honglak Lee:
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification. CoRR abs/1606.06582 (2016) - 2015
- [c1]Kibok Lee, Junmo Kim:
On the Equivalence of Linear Discriminant Analysis and Least Squares. AAAI 2015: 2736-2742
Coauthor Index
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last updated on 2026-01-06 23:58 CET by the dblp team
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