Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration

Neural Information Processing Systems 

Contrastive learning (CL) explicitly enlarges the feature representation similarity between semantic-relevant samples, and it is adept at capturing high-level semantics while discarding irrelevant information.