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2020 – today
- 2024
[c5]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: 5681-5697- [i9]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 abs/2406.06357 (2024) - 2023
- [c4]Qiao Gu, Dongsub Shim, Florian Shkurti:
Preserving Linear Separability in Continual Learning by Backward Feature Projection. CVPR 2023: 24286-24295 - [c3]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: 3355-3371 - [i8]Qiao Gu, Dongsub Shim, Florian Shkurti:
Preserving Linear Separability in Continual Learning by Backward Feature Projection. CoRR abs/2303.14595 (2023) - [i7]Dong-Ki Kim, Sungryull Sohn, Lajanugen Logeswaran, Dongsub Shim, Honglak Lee:
MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning. CoRR abs/2310.16730 (2023) - [i6]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 abs/2311.09601 (2023) - [i5]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 abs/2312.04668 (2023) - 2022
- [c2]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: 3171-3177 - [i4]Sungmin Cha, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon:
Is Continual Learning Truly Learning Representations Continually? CoRR abs/2206.08101 (2022) - 2021
- [c1]Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang:
Online Class-Incremental Continual Learning with Adversarial Shapley Value. AAAI 2021: 9630-9638 - [i3]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 abs/2105.14162 (2021) - [i2]Zhibo Zhang, Jongseong Jang, Chiheb Trabelsi, Ruiwen Li, Scott Sanner, Yeonjeong Jeong, Dongsub Shim:
ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification. CoRR abs/2111.14271 (2021) - 2020
- [i1]Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang:
Adversarial Shapley Value Experience Replay for Task-Free Continual Learning. CoRR abs/2009.00093 (2020)
Coauthor Index
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