From: NeurIPS.cc/2021/Workshop/DistShift/Program_Chairs
title: Paper Decision
decision: Accept (Poster)
comment: This paper study the effect of removing one of the steps in batch normalization (affine transforms) on few-shot learning performance. It seems to help for small scale benchmarks (even competitive with more sophisticated methods) so it would be interesting to see whether this simple tweak also works on larger scale experiments. For the camera-ready version please address the comments by the reviewers.