Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias

Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko

Self-training is a well-known approach for semi-supervised learning. It consists of iteratively assigning pseudo-labels to unlabeled data for which the model is confident and treat…