Mixup Save

This repo contains demo reimplementations of the CIFAR-10 training code and the GAN experiment in PyTorch based on the following paper:

Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin and David Lopez-Paz. mixup: Beyond Empirical Risk Minimization. https://arxiv.org/abs/1710.09412

CIFAR-10

The following table shows the median test errors of the last 10 epochs in a 200-epoch training session. (Please refer to Section 3.2 in the paper for details.)

Generative Adversarial Networks (GAN)

Other implementations

• A Tensorflow implementation of mixup which reproduces our results in tensorpack
• Official Facebook implementation of the CIFAR-10 experiments

Acknowledgement

The CIFAR-10 reimplementation of mixup is adapted from the pytorch-cifar repository by kuangliu.