From Alignment to Prediction: A Study of Self-Supervised Learning and Predictive Representation Learning
arXiv:2604.13518v1 Announce Type: cross
Abstract: Self-supervised learning has emerged as a major technique for the task of learning from unlabeled data, where the current methods mostly revolve around alignment of representations and input recon stru…