Search Results for author: Joonhwan Chang

Found 2 papers, 1 papers with code

Analysis of Using Sigmoid Loss for Contrastive Learning

no code implementations20 Feb 2024 Chungpa Lee, Joonhwan Chang, Jy-yong Sohn

The optimal embedding ranges from simplex equiangular-tight-frame to antipodal structure, depending on the temperature parameter used in the sigmoid loss.

Contrastive Learning Self-Supervised Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.