Bibliography (14):

  1. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

  2. https://arxiv.org/pdf/1606.03498.pdf#page=6&org=openai

  3. https://arxiv.org/pdf/1606.03498.pdf#page=5&org=openai

  4. https://arxiv.org/pdf/1809.11096.pdf#page=6&org=deepmind

  5. Generative Adversarial Parallelization

  6. Neural networks trained with SGD learn distributions of increasing complexity

  7. On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

  8. Small-GAN: Speeding Up GAN Training Using Core-sets

  9. Top-K Training of GANs: Improving GAN Performance by Throwing Away Bad Samples

  10. Generator Knows What Discriminator Should Learn in Unconditional GANs