Kimin Lee

146 papers A* 51B 2Misc 4Journal 80Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Entropy-Aware On-Policy Distillation of Language Models.
CoRR
Woogyeol Jin, Taywon Min, Yongjin Yang, Swanand Ravindra Kadhe, Yi Zhou, Dennis Wei, Nathalie Baracaldo, Kimin Lee
2026 J jnl
Learning Multi-View Spatial Reasoning from Cross-View Relations.
CoRR
Suchae Jeong, Jaehwi Song, Haeone Lee, Hanna Kim, Jian Kim, Dongjun Lee, Dong Kyu Shin, Changyeon Kim, Dongyoon Hahm, Woogyeol Jin, Juheon Choi, Kimin Lee
2026 A* conf
MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control.
AAAI
Juyong Lee, Dongyoon Hahm, June Suk Choi, W. Bradley Knox, Kimin Lee
2026 J jnl
Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning.
CoRR
Haeone Lee, Taywon Min, Junsu Kim, Sinjae Kang, Fangchen Liu, Lerrel Pinto, Kimin Lee
2026 A* conf
State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital Living.
CHI
Juheon Choi, Juyong Lee, Jian Kim, Chanyoung Kim, Taywon Min, W. Bradley Knox, Min Kyung Lee, Kimin Lee
2026 A* conf
Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation.
AAAI
Dongyoon Hahm, Taywon Min, Woogyeol Jin, Kimin Lee
2025 J jnl
A Definition of AGI.
CoRR
Dan Hendrycks, Dawn Song, Christian Szegedy, Honglak Lee, Yarin Gal, Erik Brynjolfsson, Sharon Li, Andy Zou, Lionel Levine, Bo Han, Jie Fu, Ziwei Liu, Jinwoo Shin, Kimin Lee, Mantas Mazeika, Long Phan, George Ingebretsen, Adam Khoja, Cihang Xie, Olawale Salaudeen, Matthias Hein, Kevin Zhao, Alexander Pan, David Duvenaud, Bo Li, Steve Omohundro, Gabriel Alfour, Max Tegmark, Kevin McGrew, Gary Marcus, Jaan Tallinn, Eric Schmidt, Yoshua Bengio
2025 J jnl
Adversarial Reinforcement Learning Framework for ESP Cheater Simulation.
CoRR
Inkyu Park, Jeong-Gwan Lee, Taehwan Kwon, Juheon Choi, Seungku Kim, Junsu Kim, Kimin Lee
2025 A* conf
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models.
ICLR
Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, Sangmook Kim, Se-Young Yun, Kimin Lee
2025 J jnl
Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback.
CoRR
Yongjin Yang, Sinjae Kang, Juyong Lee, Dongjun Lee, Se-Young Yun, Kimin Lee
2025 J jnl
DEAS: DEtached value learning with Action Sequence for Scalable Offline RL.
CoRR
Changyeon Kim, Haeone Lee, Younggyo Seo, Kimin Lee, Yuke Zhu
2025 A* conf
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models.
AAAI
Daewon Chae, June Suk Choi, Jinkyu Kim, Kimin Lee
2025 J jnl
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models.
CoRR
Daewon Chae, June Suk Choi, Jinkyu Kim, Kimin Lee
2025 A* conf
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing.
ICLR
June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee
2025 — conf
Enhancing LLM Agent Safety via Causal Influence Prompting.
ACL (Findings)
Dongyoon Hahm, Woogyeol Jin, June Suk Choi, Sungsoo Ahn, Kimin Lee
2025 J jnl
Enhancing LLM Agent Safety via Causal Influence Prompting.
CoRR
Dongyoon Hahm, Woogyeol Jin, June Suk Choi, Sungsoo Ahn, Kimin Lee
2025 J jnl
Enhancing Motion Dynamics of Image-to-Video Models via Adaptive Low-Pass Guidance.
CoRR
June Suk Choi, Kyungmin Lee, Sihyun Yu, Yisol Choi, Jinwoo Shin, Kimin Lee
2025 A* conf
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers.
EMNLP
Eugene Jang, Kimin Lee, Jin-Woo Chung, Keuntae Park, Seungwon Shin
2025 A* conf
Latent Action Pretraining from Videos.
ICLR
Seonghyeon Ye, Joel Jang, Byeongguk Jeon, Se June Joo, Jianwei Yang, Baolin Peng, Ajay Mandlekar, Reuben Tan, Yu-Wei Chao, Bill Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo
2025 A* conf
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents.
ICLR
Dongjun Lee, Juyong Lee, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee
2025 J jnl
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents.
CoRR
Dongjun Lee, Juyong Lee, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee
2025 J jnl
Learning to Generate Unit Test via Adversarial Reinforcement Learning.
CoRR
Dongjun Lee, Changho Hwang, Kimin Lee
2025 J jnl
Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search.
CoRR
Dongryung Lee, Se June Joo, Kimin Lee, Beomjoon Kim
2025 J jnl
Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness.
CoRR
Yongjin Yang, Euiin Yi, Jongwoo Ko, Kimin Lee, Zhijing Jin, Se-Young Yun
2025 Misc conf
SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay.
SenSys
Hyungjun Yoon, Jae Hyun Kwak, Biniyam Aschalew Tolera, Gaole Dai, Mo Li, Taesik Gong, Kimin Lee, Sung-Ju Lee
2025 A* conf
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models.
CVPR
Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang
2025 J jnl
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models.
CoRR
Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang
2025 A* conf
Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment.
ICLR
Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim
2025 J jnl
State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital Living.
CoRR
Juheon Choi, Juyong Lee, Jian Kim, Chanyoung Kim, Taywon Min, W. Bradley Knox, Min Kyung Lee, Kimin Lee
2025 A* conf
Subtask-Aware Visual Reward Learning from Segmented Demonstrations.
ICLR
Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph J. Lim, Kimin Lee
2025 J jnl
Subtask-Aware Visual Reward Learning from Segmented Demonstrations.
CoRR
Changyeon Kim, Minho Heo, Doohyun Lee, Jinwoo Shin, Honglak Lee, Joseph J. Lim, Kimin Lee
2025 — conf
Understanding Impact of Human Feedback via Influence Functions.
ACL (1)
Taywon Min, Haeone Lee, Yongchan Kwon, Kimin Lee
2025 J jnl
Understanding Impact of Human Feedback via Influence Functions.
CoRR
Taywon Min, Haeone Lee, Hanho Ryu, Yongchan Kwon, Kimin Lee
2025 J jnl
Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation.
CoRR
Dongyoon Hahm, Taywon Min, Woogyeol Jin, Kimin Lee
2025 — conf
What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMs.
ACL (1)
Sangyeop Kim, Yohan Lee, Yongwoo Song, Kimin Lee
2025 J jnl
What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMs.
CoRR
Sangyeop Kim, Yohan Lee, Yongwoo Song, Kimin Lee
2025 A* conf
When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs.
USENIX Security Symposium
Hanna Kim, Minkyoo Song, Seung Ho Na, Seungwon Shin, Kimin Lee
2024 J jnl
ADAPT^2: Adapting Pre-Trained Sensing Models to End-Users via Self-Supervision Replay.
CoRR
Hyungjun Yoon, Jae Hyun Kwak, Biniyam Aschalew Tolera, Gaole Dai, Mo Li, Taesik Gong, Kimin Lee, Sung-Ju Lee
2024 J jnl
Aligning Large Language Models with Self-generated Preference Data.
CoRR
Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim
2024 J jnl
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models.
CoRR
Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, Sangmook Kim, Se-Young Yun, Kimin Lee
2024 J jnl
Benchmarking Mobile Device Control Agents across Diverse Configurations.
CoRR
Juyong Lee, Taywon Min, Minyong An, Changyeon Kim, Kimin Lee
2024 — conf
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation.
AIES (1)
Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham
2024 J jnl
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation.
CoRR
Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham
2024 A* conf
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting.
EMNLP
Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong, Kimin Lee, Sung-Ju Lee
2024 J jnl
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting.
CoRR
Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong, Kimin Lee, Sung-Ju Lee
2024 A* conf
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models.
ICLR
Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee
2024 J jnl
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models.
CoRR
Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dvijotham, Jinwoo Shin, Kimin Lee
2024 J jnl
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing.
CoRR
June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee
2024 A* conf
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models.
NeurIPS
Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang
2024 J jnl
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models.
CoRR
Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang
2024 J jnl
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers.
CoRR
Eugene Jang, Kimin Lee, Jin-Woo Chung, Keuntae Park, Seungwon Shin
2024 J jnl
Latent Action Pretraining from Videos.
CoRR
Seonghyeon Ye, Joel Jang, Byeongguk Jeon, Se June Joo, Jianwei Yang, Baolin Peng, Ajay Mandlekar, Reuben Tan, Yu-Wei Chao, Bill Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo
2024 — conf
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback.
EMNLP (Findings)
Kyuyoung Kim, Ah Jeong Seo, Hao Liu, Jinwoo Shin, Kimin Lee
2024 J jnl
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback.
CoRR
Kyuyoung Kim, Ah Jeong Seo, Hao Liu, Jinwoo Shin, Kimin Lee
2024 J jnl
MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control.
CoRR
Juyong Lee, Dongyoon Hahm, June Suk Choi, W. Bradley Knox, Kimin Lee
2024 A* conf
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences.
CVPR
Minyoung Hwang, Luca Weihs, Chanwoo Park, Kimin Lee, Aniruddha Kembhavi, Kiana Ehsani
2024 J jnl
When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs.
CoRR
Hanna Kim, Minkyoo Song, Seung Ho Na, Seungwon Shin, Kimin Lee
2023 J jnl
Aligning Text-to-Image Models using Human Feedback.
CoRR
Kimin Lee, Hao Liu, Moonkyung Ryu, Olivia Watkins, Yuqing Du, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Shixiang Shane Gu
2023 A* conf
Controllability-Aware Unsupervised Skill Discovery.
ICML
Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel
2023 J jnl
Controllability-Aware Unsupervised Skill Discovery.
CoRR
Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel
2023 J jnl
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.
CoRR
Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
2023 A* conf
Guide Your Agent with Adaptive Multimodal Rewards.
NeurIPS
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
2023 J jnl
Guide Your Agent with Adaptive Multimodal Rewards.
CoRR
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
2023 J jnl
InstructBooth: Instruction-following Personalized Text-to-Image Generation.
CoRR
Daewon Chae, Nokyung Park, Jinkyu Kim, Kimin Lee
2023 A* conf
Multi-View Masked World Models for Visual Robotic Manipulation.
ICML
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
2023 J jnl
Multi-View Masked World Models for Visual Robotic Manipulation.
CoRR
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
2023 A* conf
Preference Transformer: Modeling Human Preferences using Transformers for RL.
ICLR
Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2023 J jnl
Preference Transformer: Modeling Human Preferences using Transformers for RL.
CoRR
Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2023 J jnl
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences.
CoRR
Minyoung Hwang, Luca Weihs, Chanwoo Park, Kimin Lee, Aniruddha Kembhavi, Kiana Ehsani
2023 A* conf
Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.
NeurIPS
Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
2023 J jnl
StyleDrop: Text-to-Image Generation in Any Style.
CoRR
Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan
2023 A* conf
StyleDrop: Text-to-Image Synthesis of Any Style.
NeurIPS
Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin
2022 B conf
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator.
ICIP
Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel
2022 J jnl
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator.
CoRR
Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel
2022 J jnl
Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models.
CoRR
Hao Liu, Lisa Lee, Kimin Lee, Pieter Abbeel
2022 Misc conf
Masked World Models for Visual Control.
CoRL
Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel
2022 J jnl
Masked World Models for Visual Control.
CoRR
Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel
2022 A* conf
Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning.
AAAI
Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
2022 A* conf
Reinforcement Learning with Action-Free Pre-Training from Videos.
ICML
Younggyo Seo, Kimin Lee, Stephen James, Pieter Abbeel
2022 J jnl
Reinforcement Learning with Action-Free Pre-Training from Videos.
CoRR
Younggyo Seo, Kimin Lee, Stephen James, Pieter Abbeel
2022 A* conf
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning.
ICLR
Xinran Liang, Katherine Shu, Kimin Lee, Pieter Abbeel
2022 J jnl
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning.
CoRR
Xinran Liang, Katherine Shu, Kimin Lee, Pieter Abbeel
2022 A* conf
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.
ICLR
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2022 J jnl
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.
CoRR
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2022 A* conf
Towards More Generalizable One-shot Visual Imitation Learning.
ICRA
Mandi Zhao, Fangchen Liu, Kimin Lee, Pieter Abbeel
2021 — conf
B-Pref: Benchmarking Preference-Based Reinforcement Learning.
NeurIPS Datasets and Benchmarks
Kimin Lee, Laura M. Smith, Anca D. Dragan, Pieter Abbeel
2021 J jnl
B-Pref: Benchmarking Preference-Based Reinforcement Learning.
CoRR
Kimin Lee, Laura M. Smith, Anca D. Dragan, Pieter Abbeel
2021 A* conf
Decision Transformer: Reinforcement Learning via Sequence Modeling.
NeurIPS
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch
2021 J jnl
Decision Transformer: Reinforcement Learning via Sequence Modeling.
CoRR
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch
2021 A* conf
Decoupling Representation Learning from Reinforcement Learning.
ICML
Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin
2021 A* conf
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
NeurIPS
Lili Chen, Kimin Lee, Aravind Srinivas, Pieter Abbeel
2021 J jnl
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
CoRR
Lili Chen, Kimin Lee, Aravind Srinivas, Pieter Abbeel
2021 A* conf
Improving Transferability of Representations via Augmentation-Aware Self-Supervision.
NeurIPS
Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin
2021 J jnl
Improving Transferability of Representations via Augmentation-Aware Self-Supervision.
CoRR
Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin
2021 A* conf
Learning to Sample with Local and Global Contexts in Experience Replay Buffer.
ICLR
Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2021 A* conf
MASKER: Masked Keyword Regularization for Reliable Text Classification.
AAAI
Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin
2021 Misc conf
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble.
CoRL
Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin
2021 J jnl
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble.
CoRR
Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin
2021 A* conf
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training.
ICML
Kimin Lee, Laura M. Smith, Pieter Abbeel
2021 J jnl
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training.
CoRR
Kimin Lee, Laura M. Smith, Pieter Abbeel
2021 A* conf
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment.
IJCAI
Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh
2021 A* conf
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning.
ICML
Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel
2021 J jnl
Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments.
CoRR
Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Sanjit A. Seshia
2021 Misc conf
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback.
CoRL
Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin
2021 J jnl
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback.
CoRR
Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin
2021 A* conf
State Entropy Maximization with Random Encoders for Efficient Exploration.
ICML
Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2021 J jnl
State Entropy Maximization with Random Encoders for Efficient Exploration.
CoRR
Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2021 J jnl
Towards More Generalizable One-shot Visual Imitation Learning.
CoRR
Mandi Zhao, Fangchen Liu, Kimin Lee, Pieter Abbeel
2021 — conf
URLB: Unsupervised Reinforcement Learning Benchmark.
NeurIPS Datasets and Benchmarks
Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel
2021 J jnl
URLB: Unsupervised Reinforcement Learning Benchmark.
CoRR
Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel
2020 A* conf
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning.
ICML
Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin
2020 J jnl
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning.
CoRR
Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin
2020 J jnl
Decoupling Representation Learning from Reinforcement Learning.
CoRR
Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin
2020 J jnl
Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures.
IEEE/ACM Trans. Netw.
Seokhyun Kim, Kimin Lee, Yeonkeun Kim, Jinwoo Shin, Seungwon Shin, Song Chong
2020 J jnl
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning.
CoRR
Xingyu Lu, Kimin Lee, Pieter Abbeel, Stas Tiomkin
2020 J jnl
Learning to Sample with Local and Global Contexts in Experience Replay Buffer.
CoRR
Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2020 J jnl
MASKER: Masked Keyword Regularization for Reliable Text Classification.
CoRR
Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin
2020 A* conf
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning.
ICLR
Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee
2020 A* conf
Regularizing Class-Wise Predictions via Self-Knowledge Distillation.
CVPR
Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin
2020 J jnl
Regularizing Class-wise Predictions via Self-knowledge Distillation.
CoRR
Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin
2020 J jnl
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments.
CoRR
Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh
2020 A* conf
Reinforcement Learning with Augmented Data.
NeurIPS
Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas
2020 J jnl
Reinforcement Learning with Augmented Data.
CoRR
Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas
2020 J jnl
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning.
CoRR
Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel
2020 A* conf
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.
NeurIPS
Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel
2020 J jnl
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.
CoRR
Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel
2019 J jnl
A Simple Randomization Technique for Generalization in Deep Reinforcement Learning.
CoRR
Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee
2019 — conf
Incremental Learning with Unlabeled Data in the Wild.
CVPR Workshops
Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee
2019 J jnl
Incremental Learning with Unlabeled Data in the Wild.
CoRR
Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee
2019 A* conf
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild.
ICCV
Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee
2019 A* conf
Robust Inference via Generative Classifiers for Handling Noisy Labels.
ICML
Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin
2019 J jnl
Robust Inference via Generative Classifiers for Handling Noisy Labels.
CoRR
Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin
2019 A* conf
Using Pre-Training Can Improve Model Robustness and Uncertainty.
ICML
Dan Hendrycks, Kimin Lee, Mantas Mazeika
2019 J jnl
Using Pre-Training Can Improve Model Robustness and Uncertainty.
CoRR
Dan Hendrycks, Kimin Lee, Mantas Mazeika
2018 A* conf
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks.
NeurIPS
Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin
2018 J jnl
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks.
CoRR
Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin
2018 A* conf
Hierarchical Novelty Detection for Visual Object Recognition.
CVPR
Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee
2018 J jnl
Hierarchical Novelty Detection for Visual Object Recognition.
CoRR
Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee
2018 A* conf
Learning to Specialize with Knowledge Distillation for Visual Question Answering.
NeurIPS
Jonghwan Mun, Kimin Lee, Jinwoo Shin, Bohyung Han
2018 — conf
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples.
ICLR (Poster)
Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin
2017 A* conf
Confident Multiple Choice Learning.
ICML
Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin
2017 J jnl
Confident Multiple Choice Learning.
CoRR
Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin
2017 J jnl
Simplified Stochastic Feedforward Neural Networks.
CoRR
Kimin Lee, Jaehyung Kim, Song Chong, Jinwoo Shin
2017 J jnl
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples.
CoRR
Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin
2016 A* conf
Just-in-time WLANs: On-demand interference-managed WLAN infrastructures.
INFOCOM
Kimin Lee, Yeonkeun Kim, Seokhyun Kim, Jinwoo Shin, Seungwon Shin, Song Chong
2016 B conf
TravelMiner: On the Benefit of Path-Based Mobility Prediction.
SECON
Jaeseong Jeong, Kyunghan Lee, Beknazar Abdikamalov, Kimin Lee, Song Chong