Meta-Learning with a Geometry-Adaptive Preconditioner S Kang, D Hwang, M Eo, T Kim, W Rhee CVPR2023 (extended full version in arXiv https://arxiv.org/abs/2304.01552), 2023 | 26 | 2023 |
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution J Kim, S Kang, D Hwang, J Shin, W Rhee CVPR2023, 2023 | 24 | 2023 |
An effective low-rank compression with a joint rank selection followed by a compression-friendly training M Eo, S Kang, W Rhee Neural Networks 161, 165-177, 2023 | 16 | 2023 |
Towards a rigorous analysis of mutual information in contrastive learning K Lee, J Kim, S Kang, W Rhee Neural Networks, 106584, 2024 | 1 | 2024 |
A differentiable framework for end-to-end learning of hybrid structured compression M Eo, S Kang, W Rhee Workshop@ICLR2024, 2024 | 1 | 2024 |
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning S Kang, J Park, W Lee, W Rhee AAAI 2025, 2024 | | 2024 |
Towards a Better Evaluation of Out-of-Domain Generalization D Hwang, S Kang, M Eo, J Kim, W Rhee arXiv preprint arXiv:2405.19703, 2024 | | 2024 |