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 struction. Although such approaches have...