k-Mixup Regularization for Deep Learning via Optimal Transport

Kristjan Greenewald, Anming Gu, Mikhail Yurochkin +2

Mixup is a popular regularization technique for training deep neural networks that improves generalization and increases robustness to certain distribution shifts. It perturbs inpu…