Imbalanced Semi-Supervised Learning via Label Refinement and Threshold Adjustment

Zeju Li, Ying-Qiu Zheng, Chen Chen +1

Semi-supervised learning (SSL) algorithms often struggle to perform well when trained on imbalanced data. In such scenarios, the generated pseudo-labels tend to exhibit a bias towa…