NeurIPS 2020

Adversarial Self-Supervised Contrastive Learning

Meta Review

This paper is a first work that successfully shows we can learn robust models in an unsupervised manner which is a significant contribution to the field. The proposed approach is simple and easy to understand and the empirical results are pretty encouraging. Reviewers had concerns regarding the writing and the experimental setup, but most concerns were addressed in the rebuttal. I would rank the paper as a solid poster and encourage the authors to improve the manuscript following the reviewer's advice for the camera ready.