kimiyoung / ssl_bad_gan

Good Semi-Supervised Learning That Requires a Bad GAN
MIT License
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Why do you not use pixelCNN for CIFAR experiments? #5

Open sverneka opened 5 years ago

kimiyoung commented 5 years ago

Because we did not find it necessary in terms of performance. The reason is as follows: PixelCNN is used in our framework to prevent generating on-manifold samples, but it is hard to generate examples that are "too realistic" on CIFAR-10. Empirically, we did not see substantial gains using PixelCNNs.