2025
Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
NeurIPS 2025poster
Learning transferable data representations from abundant unlabeled data remains a central challenge in machine learning. Although numerous self-supervised learning methods have been proposed to address this challenge, a significant class of these approaches aligns the covariance or correlation matri…