2026
Understanding Self-Supervised Learning via Latent Distribution Matching
ICML 2026spotlight
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 guides the design of new ones. We cast SSL as latent distribution matching (DM): learning representatio…