A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank. - Moonjung Eo; Suhyun Kang; Wonjong Rhee (CoRR, 2021)

Meta-Learning with a Geometry-Adaptive Preconditioner. - Suhyun Kang; Duhun Hwang; Moonjung Eo; Taesup Kim; Wonjong Rhee (CVPR, 2023)

VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution. - Jaeill Kim; Suhyun Kang; Duhun Hwang; Jungwook Shin; Wonjong Rhee (CVPR, 2023)

A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression. - Moonjung Eo; Suhyun Kang; Wonjong Rhee (CoRR, 2023)

An effective low-rank compression with a joint rank selection followed by a compression-friendly training. - Moonjung Eo; Suhyun Kang; Wonjong Rhee (Neural Networks, 2023)

Towards a rigorous analysis of mutual information in contrastive learning. - Kyungeun Lee; Jaeill Kim; Suhyun Kang; Wonjong Rhee (Neural Networks, 2024)

Task-Specific Preconditioner for Cross-Domain Few-Shot Learning. - Suhyun Kang; Jungwon Park; Wonseok Lee; Wonjong Rhee (AAAI, 2025)

Towards a better evaluation of out-of-domain generalization. - Duhun Hwang; Suhyun Kang; Moonjung Eo; Jimyeong Kim; Wonjong Rhee (Neural Networks, 2025)