A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning S Lee, J Ha, D Zhang, G Kim International Conference on Learning Representations, 2020 | 219 | 2020 |
Improving occlusion and hard negative handling for single-stage pedestrian detectors J Noh, S Lee, B Kim, G Kim Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 100 | 2018 |
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation S Lee, J Ha, G Kim International Conference on Learning Representations, 2019 | 29 | 2019 |
Recursion of Thought: A Divide-and-Conquer Approach to Multi-Context Reasoning with Language Models S Lee, G Kim Findings of the Association for Computational Linguistics (ACL), 2023 | 10* | 2023 |
Recasting Continual Learning as Sequence Modeling S Lee, J Son, G Kim Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
When Meta-Learning Meets Online and Continual Learning: A Survey J Son, S Lee, G Kim arXiv preprint arXiv:2311.05241, 2023 | | 2023 |