Jaeill Kim

According to our database, Jaeill Kim authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards a rigorous analysis of mutual information in contrastive learning.

Kyungeun Lee, Jaeill Kim, Suhyun Kang, Wonjong Rhee

Neural Networks, 2024

Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness.

Jaeill Kim, Wonseok Lee, Moonjung Eo, Wonjong Rhee

CoRR, 2024

Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing.

Jaeill Kim, Duhun Hwang, Eunjung Lee, Jangwon Suh, Jimyeong Kim, Wonjong Rhee

CoRR, 2024

Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank Analysis.

Euna Jung, Jaeill Kim, Jungmin Ko, Jinwoo Park, Wonjong Rhee

IEEE Access, 2024

2023

DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion.

Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, Wonjong Rhee

CoRR, 2023

Elastic Deformable Augmentation for Autonomous Driving.

Jungwook Shin, Jaeill Kim, Wonjong Rhee

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Enhancing Fine-Tuning in Low Data Regime by Increasing Representation Entropy During Pre-Training Phase.

Jaeill Kim, Jungwook Shin, Wonjong Rhee

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution.

Jaeill Kim, Suhyun Kang, Duhun Hwang, Jungwook Shin, Wonjong Rhee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion.

Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, Wonjong Rhee

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Learning ECG Representations for Multi-Label Classification of Cardiac Abnormalities.

Jangwon Suh, Jimyeong Kim, Eunjung Lee, Jaeill Kim, Duhun Hwang, Jungwon Park, Junghoon Lee, JaeSeung Park, Seo-Yoon Moon, Yeonsu Kim, Min Kang, Soonil Kwon, Eue-Keun Choi, Wonjong Rhee

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021