Adversarial Shapley Value Experience Replay for Task-Free Continual Learning. - Zheda Mai; Dongsub Shim; Jihwan Jeong; Scott Sanner; Hyunwoo Kim; Jongseong Jang (CoRR, 2020)

Online Class-Incremental Continual Learning with Adversarial Shapley Value. - Dongsub Shim; Zheda Mai; Jihwan Jeong; Scott Sanner; Hyunwoo Kim; Jongseong Jang (AAAI, 2021)

EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment. - Ruiwen Li; Zhibo Zhang; Jiani Li; Scott Sanner; Jongseong Jang; Yeonjeong Jeong; Dongsub Shim (CoRR, 2021)

ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification. - Zhibo Zhang; Jongseong Jang; Chiheb Trabelsi; Ruiwen Li; Scott Sanner; Yeonjeong Jeong; Dongsub Shim (CoRR, 2021)

Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch. - Hyun-Rok Lee; Ram Ananth Sreenivasan; Yeonjeong Jeong; Jongseong Jang; Dongsub Shim; Chi-Guhn Lee (IJCAI, 2022)

Is Continual Learning Truly Learning Representations Continually? - Sungmin Cha; Dongsub Shim; Hyunwoo Kim; Moontae Lee; Honglak Lee; Taesup Moon (CoRR, 2022)

Preserving Linear Separability in Continual Learning by Backward Feature Projection. - Qiao Gu; Dongsub Shim; Florian Shkurti (CVPR, 2023)

TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. - Sungryull Sohn; Yiwei Lyu; Anthony Z. Liu; Lajanugen Logeswaran; Dong-Ki Kim; Dongsub Shim; Honglak Lee (EMNLP, 2023)

MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning. - Dong-Ki Kim; Sungryull Sohn; Lajanugen Logeswaran; Dongsub Shim; Honglak Lee (CoRR, 2023)

Towards More Diverse Evaluation of Class Incremental Learning: Representation Learning Perspective. - Sungmin Cha; Jihwan Kwak; Dongsub Shim; Hyunwoo Kim; Moontae Lee; Honglak Lee; Taesup Moon (CoLLAs, 2024)

Code Models are Zero-shot Precondition Reasoners. - Lajanugen Logeswaran; Sungryull Sohn; Yiwei Lyu; Anthony Z. Liu; Dong-Ki Kim; Dongsub Shim; Moontae Lee; Honglak Lee (NAACL-HLT, 2024)

Map2Text: New Content Generation from Low-Dimensional Visualizations. - Xingjian Zhang 002; Ziyang Xiong; Shixuan Liu; Yutong Xie 007; Tolga Ergen; Dongsub Shim; Hua Xu 001; Honglak Lee; Qiaozhu Mei (CoRR, 2024)

MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows. - Xingjian Zhang 002; Yutong Xie 007; Jin Huang; Jinge Ma; Zhaoying Pan; Qijia Liu; Ziyang Xiong; Tolga Ergen; Dongsub Shim; Honglak Lee; Qiaozhu Mei (NAACL (Findings), 2025)

Clear Preferences Leave Traces: Reference Model-Guided Sampling for Preference Learning. - Nirav Diwan; Tolga Ergen; Dongsub Shim; Honglak Lee (CoRR, 2025)