Meng, Deyu

Imbalanced Semi-supervised Learning with Bias Adaptive Classifier

2022 · arXiv (Cornell University)

Pseudo-labeling has proven to be a promising semi-supervised learning (SSL) paradigm. Existing pseudo-labeling methods commonly assume that the class distributions of training data are balanced. However, such an assumption is far from realistic scenarios and …