| Emi: Exploration with mutual information H Kim, J Kim, Y Jeong, S Levine, HO Song arXiv preprint arXiv:1810.01176, 2018 | 118 | 2018 |
| Model-agnostic boundary-adversarial sampling for test-time generalization in few-shot learning J Kim, H Kim, G Kim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 106 | 2020 |
| Lipschitz-constrained unsupervised skill discovery S Park, J Choi, J Kim, H Lee, G Kim International Conference on Learning Representations, 2022 | 40 | 2022 |
| Unsupervised skill discovery with bottleneck option learning J Kim, S Park, G Kim arXiv preprint arXiv:2106.14305, 2021 | 32 | 2021 |
| Time discretization-invariant safe action repetition for policy gradient methods S Park, J Kim, G Kim Advances in Neural Information Processing Systems 34, 267-279, 2021 | 21 | 2021 |
| Drop-bottleneck: Learning discrete compressed representation for noise-robust exploration J Kim, M Kim, D Woo, G Kim arXiv preprint arXiv:2103.12300, 2021 | 15 | 2021 |
| Constrained gpi for zero-shot transfer in reinforcement learning J Kim, S Park, G Kim Advances in Neural Information Processing Systems 35, 4585-4597, 2022 | 5 | 2022 |
| Autoguide: Automated generation and selection of state-aware guidelines for large language model agents Y Fu, DK Kim, J Kim, S Sohn, L Logeswaran, K Bae, H Lee arXiv preprint arXiv:2403.08978, 2024 | 4 | 2024 |
| Small Language Models Need Strong Verifiers to Self-Correct Reasoning Y Zhang, M Khalifa, L Logeswaran, J Kim, M Lee, H Lee, L Wang arXiv preprint arXiv:2404.17140, 2024 | 1 | 2024 |
| Apparatus and method with compressed neural network computation SM Rhee, KIM Jaekyeom, G Kim, M Kim, WOO Dongyeon, HAN SeungJu US Patent 11,868,428, 2024 | | 2024 |
| Device and method with state transition linearization M Ko, KIM Jaekyeom, P Seohong, G Kim, S Suh US Patent App. 17/989,320, 2023 | | 2023 |
Gunhee KimProfessor, Seoul National University在 snu.ac.kr 的电子邮件经过验证
