1. Sparse Communication for Distributed Gradient Descent
2. Gan dissection: Visualizing and understanding generative adversarial networks;Bau
3. Large scale GAN training for high fidelity natural image synthesis;Brock
4. Understanding training-data leakage from gradients in neural networks for imageclassifications;Chen
5. Intermediate layer optimization for inverse problems using deep generative models;Daras