발행물

전체 논문

58

41

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
Younggyo Seo*, Kimin Lee*, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel
NeurIPS, 2020

42

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Kimin Lee*, Younggyo Seo*, Seunghyun Lee, Honglak Lee, Jinwoo Shin
NeurIPS, 2020

43

Regularizing Class-wise Predictions via Self-knowledge Distillation
Sukmin Yun*, Jongjin Park*, Kimin Lee, Jinwoo Shin
ICML, 2020

44

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
Kimin Lee*, Kibok Lee*, Jinwoo Shin, Honglak Lee
ICLR, 2020

45

R-LAtte: Visual Control via Deep Reinforcement Learning with Attention Network
NeurIPS Workshop on Deep RL 2019,

46

Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning
Xingyu Lu, Kimin Lee, Pieter Abbeel, Stas Tiomkin
NeurIPS Workshop on Deep RL, 2020

47

Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee
Arxiv preprint, 2020

48

Robust Inference via Generative Classifiers for Handling Noisy Labels
Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin
CVPR Workshop on Uncertainty and Robustness in Deep Visual Learning, 2019

49

Using Pre-Training Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Kimin Lee, Mantas Mazeika
ICLR Workshop on Safe Machine Learning, 2019

50

Dynamic Control for On-demand Interference-managed WLAN Infrastructures
Seokhyun Kim, Kimin Lee, Yeonkeun Kim, Jinwoo Shin, Seungwon Shin, Song Chong
IEEE/ACM Transactions on Networking, 2019