Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning

Emilio Dorigatti, Jann Goschenhofer, Benjamin Schubert +2

Positive-unlabeled learning (PUL) aims at learning a binary classifier from only positive and unlabeled training data. Even though real-world applications often involve imbalanced…