LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching

Qun Liu, Matthew Shreve, Raja Bala

Although data is abundant, data labeling is expensive. Semi-supervised learning methods combine a few labeled samples with a large corpus of unlabeled data to effectively train mod…