Understanding Self-Supervised Learning via Latent Distribution Matching
arXiv:2605.03517v1 Announce Type: cross
Abstract: Self-supervised learning (SSL) excels at finding general-purpose latent representations from complex data, yet lacks a unifying theoretical framework that explains the diverse existing methods and guid…