| Uncertainty-based offline reinforcement learning with diversified q-ensemble G An*, S Moon*, JH Kim, HO Song Advances in neural information processing systems 34, 7436-7447, 2021 | 198 | 2021 |
| Parsimonious black-box adversarial attacks via efficient combinatorial optimization S Moon*, G An*, HO Song International conference on machine learning, 4636-4645, 2019 | 142 | 2019 |
| Query-efficient and scalable black-box adversarial attacks on discrete sequential data via bayesian optimization D Lee, S Moon, J Lee, HO Song International Conference on Machine Learning, 12478-12497, 2022 | 31 | 2022 |
| Preemptive image robustification for protecting users against man-in-the-middle adversarial attacks S Moon*, G An*, HO Song Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7823-7830, 2022 | 5 | 2022 |
| Rethinking value function learning for generalization in reinforcement learning S Moon, JY Lee, HO Song Advances in Neural Information Processing Systems 35, 34846-34858, 2022 | 4 | 2022 |
| Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning S Moon, J Yeom, B Park, HO Song Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Image recognition method and apparatus, image preprocessing apparatus, and method of training neural network KIM Jang-Hyun, HO Song, C Wonho, M Seungyong, AN Gaon, H Jeong US Patent App. 17/330,495, 2022 | | 2022 |
Hyun Oh SongAssociate Professor of Computer Science, Seoul National UniversityBestätigte E-Mail-Adresse bei snu.ac.kr
