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 | 13 | 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 | 12 | 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 | 2 | 2023 |
Towards a rigorous analysis of mutual information in contrastive learning K Lee, J Kim, S Kang, W Rhee Neural Networks 179, 106584, 2024 | | 2024 |
Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank Analysis E Jung, J Kim, J Ko, J Park, W Rhee arXiv preprint arXiv:2405.11297, 2024 | | 2024 |
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 |