Review for NeurIPS paper: Understanding and Exploring the Network with Stochastic Architectures

The authors propose an approach to addressing mode collapse and train/test disparity in deep neural networks, the work includes a good empirical evaluation. The reviewers make a number of suggestions of how the text could be improved which I encourage the authors to take on board.