MetAug: Contrastive Learning via Meta Feature Augmentation

Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong

Abstract: What matters for contrastive learning? We argue that contrastive learning heavily relies on informative features, or “hard” (positive or negative) features. Early works include more informative fea...