Reviews: Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

This paper received mixed reviews. All reviewers found the empirical findings in the paper to be very interesting. The main concern from reviewers was about the lack of theoretical justification for the findings. However, many empirical results precede theoretical results, and this paper's empirical results are interesting in its own right. The area chair has read the paper in detail. The paper is well written, and provides important empirical analysis for two timely questions in the field today: model robustness and self-supervised learning.