Removing Undesirable Feature Contributions Using Out-of-Distribution Data

Saehyung Lee, Changhwa Park, Hyungyu Lee +3

Several data augmentation methods deploy unlabeled-in-distribution (UID) data to bridge the gap between the training and inference of neural networks. However, these methods have c…