Data Interpolating Prediction: Alternative Interpretation of Mixup

Takuya Shimada, Shoichiro Yamaguchi, Kohei Hayashi +1

Data augmentation by mixing samples, such as Mixup, has widely been used typically for classification tasks. However, this strategy is not always effective due to the gap between a…