Dongsub Shim

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Transfer Learning

Reinforcement Learning

Scientific Workflows

Top Venues

Publications

Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows. CoRR (2024)
Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
Code Models are Zero-shot Precondition Reasoners. NAACL-HLT (2024)
Qiao Gu, Dongsub Shim, Florian Shkurti
Preserving Linear Separability in Continual Learning by Backward Feature Projection. CVPR (2023)
Qiao Gu, Dongsub Shim, Florian Shkurti
Preserving Linear Separability in Continual Learning by Backward Feature Projection. CoRR (2023)
Dong-Ki Kim, Sungryull Sohn, Lajanugen Logeswaran, Dongsub Shim, Honglak Lee
MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning. CoRR (2023)
Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. EMNLP (2023)
Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Zhe Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
Code Models are Zero-shot Precondition Reasoners. CoRR (2023)
Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. CoRR (2023)
Sungmin Cha, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon
Is Continual Learning Truly Learning Representations Continually? CoRR (2022)
Hyun-Rok Lee, Ram Ananth Sreenivasan, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee
Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch. IJCAI (2022)
Zhibo Zhang, Jongseong Jang, Chiheb Trabelsi, Ruiwen Li, Scott Sanner, Yeonjeong Jeong, Dongsub Shim
ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification. CoRR (2021)
Ruiwen Li, Zhibo Zhang, Jiani Li, Scott Sanner, Jongseong Jang, Yeonjeong Jeong, Dongsub Shim
EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment. CoRR (2021)
Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
Online Class-Incremental Continual Learning with Adversarial Shapley Value. AAAI (2021)
Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
Adversarial Shapley Value Experience Replay for Task-Free Continual Learning. CoRR (2020)