Investigating Why Contrastive Learning Benefits Robustness against Label Noise

Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman

Abstract: Self-supervised Contrastive Learning (CL) has been recently shown to be very effective in preventing deep networks from overfitting noisy labels. Despite its empirical success, the theoretical unde...