Reviews: A Probabilistic U-Net for Segmentation of Ambiguous Images

Neural Information Processing Systems 

Post rebuttal: Authors have responded well to the issues raised, and I champion publication of this work. Main idea: Use a conditional variational auto-encoder to produce well-calibrated segmentation hypotheses for a given input. Strengths: The application is well motivated and experiments are convincing and state of the art. Possibly in response, the manuscript is a little vague in its positioning relative to prior work. While relevant prior work is cited, the reader is left with some ambiguity and, if not familiar with this prior work, might be misled to think that there is methodological innovation beyond the specifics of architecture and application.