Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning

Hengwei Zhao, Zhengzhong Tu, Zhuo Zheng +4

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…