Differentiable Augmentation for Data-Efficient GAN Training

Meta Review

All four reviewers support acceptance. AC agrees and thinks that this is a timely work and clear contribution (with solid experiments) in the GAN literature. Hence, AC recommends acceptance with no doubt.