A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels

Daiki Tanaka, Daiki Ikami, Kiyoharu Aizawa

Positive-unlabeled learning refers to the process of training a binary classifier using only positive and unlabeled data. Although unlabeled data can contain positive data, all unl…