Jaeill Kim
Jaeill Kim
LINE Investment Technologies
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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
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
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
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
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
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
Elastic Deformable Augmentation for Autonomous Driving
J Shin, J Kim, W Rhee
2023 14th International Conference on Information and Communication …, 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
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
K Lee, J Kim, S Kang, W Rhee
arXiv preprint arXiv:2308.15704, 2023
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