On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation

Bing Yu, Ke Sun, He Wang +2

The scarcity of class-labeled data is a ubiquitous bottleneck in many machine learning problems. While abundant unlabeled data typically exist and provide a potential solution, it…