From: NeurIPS.cc/2022/Workshop/DistShift/Program_Chairs
title: Paper Decision
decision: Accept (Poster)
comment: This paper considers the class imbalance problem, and the authors propose a curriculum of data augmentations, based on the observation that stronger augmentations on the majority classes improve performance on the minority classes. As the reviewers pointed out, the paper presents an interesting finding that’s relevant to the workshop, and the algorithm achieves promising results.