From: NeurIPS.cc/2021/Workshop/DistShift/Program_Chairs
title: Paper Decision
decision: Accept (Poster)
comment: Proposes matching distributions of activations beyond means and variances using Wasserstein distance during test time to mitigate covariate shift. The idea is interesting although experimental improvements are only marginal - e,g, in the order of 1% (for baseline of ~45%) on Corrupted ImageNet. Some experiments such as Fig. 1 suggest early stopping the matching would help which would contradict the authors reasoning - this should be discussed in the paper. Further, reviewers agree that writing could be much improved.