Learning ECG representations for multi-label classification of cardiac abnormalities J Suh, J Kim, E Lee, J Kim, D Hwang, J Park, J Lee, J Park, SY Moon, ... 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 12 | 2021 |
Vne: An effective method for improving deep representation by manipulating eigenvalue distribution J Kim, S Kang, D Hwang, J Shin, W Rhee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
Diversified and realistic 3D augmentation via iterative construction, random placement, and HPR occlusion J Shin, J Kim, K Lee, H Cho, W Rhee Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2282-2291, 2023 | 1 | 2023 |
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness J Kim, W Lee, M Eo, W Rhee arXiv preprint arXiv:2403.15517, 2024 | | 2024 |
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing J Kim, D Hwang, E Lee, J Suh, J Kim, W Rhee arXiv preprint arXiv:2401.05730, 2024 | | 2024 |
Elastic Deformable Augmentation for Autonomous Driving J Shin, J Kim, W Rhee 2023 14th International Conference on Information and Communication …, 2023 | | 2023 |
Enhancing Fine-Tuning in Low Data Regime by Increasing Representation Entropy During Pre-Training Phase J Kim, J Shin, W Rhee 2023 14th International Conference on Information and Communication …, 2023 | | 2023 |
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning K Lee, J Kim, S Kang, W Rhee arXiv preprint arXiv:2308.15704, 2023 | | 2023 |