Improving realistic semi-supervised learning with doubly robust estimation

Khiem Pham, Charles Herrmann, Ramin Zabih

A major challenge in Semi-Supervised Learning (SSL) is the limited information available about the class distribution in the unlabeled data. In many real-world applications this ar…