Boosting Semi-Supervised Learning with Contrastive Complementary Labeling

Qinyi Deng, Yong Guo, Zhibang Yang +2

Semi-supervised learning (SSL) has achieved great success in leveraging a large amount of unlabeled data to learn a promising classifier. A popular approach is pseudo-labeling that…