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MNIST, CIFAR10, and CelebA datasets
The dataset used in the paper is a MNIST dataset, a CIFAR10 dataset, and a CelebA dataset. -
Generative Adversarial Nets
Generative adversarial nets (GANs) are a class of deep learning models that consist of two neural networks: a generator and a discriminator. -
Binarized MNIST
We use the preprocessed binarized MNIST dataset from [49] which has a split of 50k/10k/10k.