From: NeurIPS.cc/2022/Workshop/DistShift/Program_Chairs
title: Paper Decision
decision: Accept (Poster)
comment: This paper considers meta learning on a class-imbalanced problem in satellite imagery. It shows that transductive batch norm substantially degrades performance in this setting, even though it improves performance on standard, class-balanced benchmarks. The authors then propose to use instance normalization instead, leading to performance improvements. As pointed out by reviewers, the paper presents an interesting finding on a realistic problem, which was overlooked in standard benchmarks, and the empirical gains for the proposed approach is clear.