Bibliography (12):

1. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

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

3. Generative Adversarial Parallelization

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

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

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

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

8. Generator Knows What Discriminator Should Learn in Unconditional GANs

9. Wikipedia Bibliography:

   1. Generative adversarial network

   2. Entropy (information theory)

   3. Batch normalization

   4. Weak supervision § Semi-supervised learning