Recently a number of image-mixing-based augmentation techniques have been introduced
to improve the generalization of deep neural networks. In these techniques two or more …

As Deep Neural Networks have achieved thrilling breakthroughs in the past decade, data
augmentations have garnered increasing attention as regularization techniques when …

Distribution shifts, which often occur in the real world, degrade the accuracy of deep learning
systems, and thus improving robustness to distribution shifts is essential for practical …