Analysis of Using Sigmoid Loss for Contrastive Learning. - Chungpa Lee; Joonhwan Chang; Jy-yong Sohn (AISTATS, 2024)

A Generalized Theory of Mixup for Structure-Preserving Synthetic Data. - Chungpa Lee; Jongho Im; Joseph H. T. Kim (AISTATS, 2025)

A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning. - Chungpa Lee; Jeongheon Oh; Kibok Lee 003; Jy-yong Sohn (AISTATS, 2025)

On the Similarities of Embeddings in Contrastive Learning. - Chungpa Lee; Sehee Lim; Kibok Lee 003; Jy-yong Sohn (CoRR, 2025)