Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding

Lan-Zhe Guo, Yu-Feng Li

Abstract: Semi-supervised learning (SSL) has proven to be successful in overcoming labeling difficulties by leveraging unlabeled data. Previous SSL algorithms typically assume a balanced class distribution. ...