| Online Class-Incremental Continual Learning with Adversarial Shapley Value D Shim, Z Mai, J Jeong, S Sanner, H Kim, J Jang Proceedings of the AAAI Conference on Artificial Intelligence, 2021, 2020 | 226 | 2020 |
| Preserving Linear Separability in Continual Learning by Backward Feature Projection Q Gu, D Shim, F Shkurti Computer Vision and Pattern Recognition (CVPR), 2023, 2023 | 12 | 2023 |
| ExCon: Explanation-driven supervised contrastive learning for image classification Z Zhang, J Jang, C Trabelsi, R Li, S Sanner, Y Jeong, D Shim arXiv preprint arXiv:2111.14271, 2021 | 6 | 2021 |
| MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows X Zhang, Y Xie, J Huang, J Ma, Z Pan, Q Liu, Z Xiong, T Ergen, D Shim, ... arXiv preprint arXiv:2406.06357, 2024 | 4 | 2024 |
| Is continual learning truly learning representations continually S Cha, D Shim, H Kim, M Lee, H Lee, T Moon arXiv preprint arXiv:2206.08101 2 (3), 4, 2022 | 4 | 2022 |
| Towards more objective evaluation of class incremental learning: Representation learning perspective S Cha, J Kwak, D Shim, H Kim, M Lee, H Lee, T Moon arXiv preprint arXiv:2206.08101, 2022 | 3 | 2022 |
| Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch. HR Lee, RA Sreenivasan, Y Jeong, J Jang, D Shim, CG Lee IJCAI, 3171-3177, 2022 | 3 | 2022 |
| EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment R Li, Z Zhang, J Li, S Sanner, J Jang, Y Jeong, D Shim arXiv preprint arXiv:2105.14162 3, 2021 | 3 | 2021 |
| TOD-Flow: Modeling the Structure of Task-Oriented Dialogues S Sohn, Y Lyu, A Liu, L Logeswaran, DK Kim, D Shim, H Lee arXiv preprint arXiv:2312.04668, 2023 | 2 | 2023 |
| Code Models are Zero-shot Precondition Reasoners L Logeswaran, S Sohn, Y Lyu, AZ Liu, DK Kim, D Shim, M Lee, H Lee arXiv preprint arXiv:2311.09601, 2023 | 2 | 2023 |
| A Learnable Similarity Metric for Transfer Learning with Dynamics Mismatch RA Sreenivasan, HR Lee, Y Jeong, J Jang, D Shim, CG Lee PRL Workshop Series {\textendash} Bridging the Gap Between AI Planning and …, 2023 | 2 | 2023 |
| MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning DK Kim, S Sohn, L Logeswaran, D Shim, H Lee arXiv preprint arXiv:2310.16730, 2023 | 1 | 2023 |
| Online class-incremental continual learning with adversarial Shapley value S Dongsub, MAI Zheda, J Jeong, S Sanner, H Kim, J Jongseong US Patent App. 17/331,332, 2021 | 1 | 2021 |
| Reasoning about Action Preconditions with Programs L Logeswaran, S Sohn, Y Lyu, A Liu, DK Kim, D Shim, M Lee, H Lee NeurIPS 2023 Foundation Models for Decision Making Workshop, 0 | | |
