Wenzhe Jiao

Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning

Positive-Unlabeled (PU) learning aims to train a binary classifier (positive vs. negative) where only limited positive data and abundant unlabeled data are available. While widely applicable, state-of-the-art PU learning methods substantially underperform their supervised counterparts on complex dat…