Lee, Kimin

56 publications

ICLR 2025 Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, SangMook Kim, Se-Young Yun, Kimin Lee

AAAI 2025 DiffExp: Efficient Exploration in Reward Fine-Tuning for Text-to-Image Diffusion Models Daewon Chae, June Suk Choi, Jinkyu Kim, Kimin Lee

ICLR 2025 DiffusionGuard: A Robust Defense Against Malicious Diffusion-Based Image Editing June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee

ICLR 2025 Latent Action Pretraining from Videos 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

ICLR 2025 Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents Dongjun Lee, Juyong Lee, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee

CVPR 2025 Silent Branding Attack: Trigger-Free Data Poisoning Attack on Text-to-Image Diffusion Models Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang

ICLR 2025 Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim

ICLR 2025 Subtask-Aware Visual Reward Learning from Segmented Demonstrations Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph J Lim, Kimin Lee

ICMLW 2024 Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation 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

ICLR 2024 Confidence-Aware Reward Optimization for Fine-Tuning Text-to-Image Models Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee

ICMLW 2024 DiffusionGuard: A Robust Defense Against Malicious Diffusion-Based Image Editing June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee

NeurIPS 2024 Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang

ICMLW 2024 InstructBooth: Instruction-Following Personalized Text-to-Image Generation Daewon Chae, Nokyung Park, Jinkyu Kim, Kimin Lee

CVPR 2024 Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences Minyoung Hwang, Luca Weihs, Chanwoo Park, Kimin Lee, Aniruddha Kembhavi, Kiana Ehsani

ICMLW 2023 Algorithms for Optimal Adaptation ofDiffusion Models to Reward Functions Krishnamurthy Dj Dvijotham, Shayegan Omidshafiei, Kimin Lee, Katherine M. Collins, Deepak Ramachandran, Adrian Weller, Mohammad Ghavamzadeh, Milad Nasr, Ying Fan, Jeremiah Zhe Liu

ICML 2023 Controllability-Aware Unsupervised Skill Discovery Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel

NeurIPS 2023 DPOK: Reinforcement Learning for Fine-Tuning Text-to-Image Diffusion Models Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee

NeurIPS 2023 Guide Your Agent with Adaptive Multimodal Rewards Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee

ICMLW 2023 Guide Your Agent with Adaptive Multimodal Rewards Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee

ICML 2023 Multi-View Masked World Models for Visual Robotic Manipulation Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel

ICLR 2023 Preference Transformer: Modeling Human Preferences Using Transformers for RL Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee

NeurIPS 2023 StyleDrop: Text-to-Image Synthesis of Any Style Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan A. Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin

NeurIPSW 2022 Dynamics-Augmented Decision Transformer for Offline Dynamics Generalization Changyeon Kim, Junsu Kim, Younggyo Seo, Kimin Lee, Honglak Lee, Jinwoo Shin

CoRL 2022 Masked World Models for Visual Control Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel

AAAI 2022 Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia

ICML 2022 Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo, Kimin Lee, Stephen L James, Pieter Abbeel

ICLR 2022 Reward Uncertainty for Exploration in Preference-Based Reinforcement Learning Xinran Liang, Katherine Shu, Kimin Lee, Pieter Abbeel

ICLR 2022 SURF: Semi-Supervised Reward Learning with Data Augmentation for Feedback-Efficient Preference-Based Reinforcement Learning Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee

NeurIPS 2021 Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Misha Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

ICMLW 2021 Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

ICML 2021 Decoupling Representation Learning from Reinforcement Learning Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin

NeurIPS 2021 Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Lili Chen, Kimin Lee, Aravind Srinivas, Pieter Abbeel

NeurIPS 2021 Improving Transferability of Representations via Augmentation-Aware Self-Supervision Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin

ICLR 2021 Learning to Sample with Local and Global Contexts in Experience Replay Buffer Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

AAAI 2021 MASKER: Masked Keyword Regularization for Reliable Text Classification Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin

CoRL 2021 Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin

ICML 2021 PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-Training Kimin Lee, Laura M Smith, Pieter Abbeel

IJCAI 2021 Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-Person Simulated 3D Environment Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh

NeurIPSW 2021 Reward Uncertainty for Exploration in Preference-Based Reinforcement Learning Xinran Liang, Katherine Shu, Kimin Lee, Pieter Abbeel

ICML 2021 SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel

NeurIPSW 2021 SURF: Semi-Supervised Reward Learning with Data Augmentation for Feedback-Efficient Preference-Based Reinforcement Learning Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee

CoRL 2021 Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin

NeurIPSW 2021 Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin

ICML 2021 State Entropy Maximization with Random Encoders for Efficient Exploration Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee

NeurIPSW 2021 URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel

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

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

NeurIPS 2020 Reinforcement Learning with Augmented Data Misha Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas

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

CVPRW 2019 Incremental Learning with Unlabeled Data in the Wild Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee

ICML 2019 Robust Inference via Generative Classifiers for Handling Noisy Labels Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin

ICML 2019 Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks, Kimin Lee, Mantas Mazeika

NeurIPS 2018 A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin

NeurIPS 2018 Learning to Specialize with Knowledge Distillation for Visual Question Answering Jonghwan Mun, Kimin Lee, Jinwoo Shin, Bohyung Han

ICLR 2018 Training Confidence-Calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin

ICML 2017 Confident Multiple Choice Learning Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin