| Uncertainty-based continual learning with adaptive regularization H Ahn, S Cha, D Lee, T Moon Advances in neural information processing systems 32, 2019 | 181 | 2019 |
| Fair feature distillation for visual recognition S Jung, D Lee, T Park, T Moon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 64 | 2021 |
| Continual learning of micro-Doppler signature-based human activity classification D Lee, H Park, T Moon, Y Kim IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 8 | 2021 |
| SwiFT: Swin 4D fMRI Transformer P Kim, J Kwon, S Joo, S Bae, D Lee, Y Jung, S Yoo, J Cha, T Moon Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Issues for Continual Learning in the Presence of Dataset Bias D Lee, S Jung, T Moon AAAI Bridge Program on Continual Causality, 92-99, 2023 | 1 | 2023 |
| Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline D Lee, S Jung, T Moon The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| SwiFT: Swin 4D fMRI Transformer P Yongho Kim, J Kwon, S Joo, S Bae, D Lee, Y Jung, S Yoo, J Cha, ... arXiv e-prints, arXiv: 2307.05916, 2023 | | 2023 |
| Continual Learning in the Presence of Spurious Correlation D Lee, S Jung, T Moon arXiv preprint arXiv:2303.11863, 2023 | | 2023 |
| Supplementary Materials for Fair Feature Distillation for Visual Recognition S Jung, D Lee, T Park, T Moon Learning, 1, 2020 | | 2020 |
| Supplementary Materials for Uncertainty-regularized Continual Learning with Adaptive Regularization H Ahn, S Cha, D Lee, T Moon | | |
Taesup Moon (문태섭)Associate Professor, Department of Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr
