From: NeurIPS.cc/2022/Workshop/DistShift/Program_Chairs
title: Paper Decision
decision: Accept (Poster)
comment: This paper proposes an extension of MixUp called RobustMix, which regularizes models to rely more on low-frequency features in order to be robust to perturbations. Reviewers felt that the method is well-motivated and practical, and they agree on its empirical merits: RobustMix improves robustness on ImageNet-C and Stylized ImageNet without sacrificing clean accuracy.