An Augmentation-Aware Theory for Self-Supervised Contrastive Learning

Jingyi Cui, Hongwei Wen, Yisen Wang

Self-supervised contrastive learning has emerged as a powerful tool in machine learning and computer vision to learn meaningful representations from unlabeled data. Meanwhile, its…