From: NeurIPS.cc/2022/Workshop/HITY/Program_Chairs
title: Paper Decision
decision: Accept

From: NeurIPS.cc/2022/Workshop/HITY/Paper33/Reviewer_kHZn
title: Review
review: Nice paper discussing and testing how calibration affects the performance of data prioritization.
rating: 1: accept
confidence: 4: The reviewer is confident but not absolutely certain that the evaluation is correct

From: NeurIPS.cc/2022/Workshop/HITY/Paper33/Reviewer_9s7d
title: Review
review: This paper empirically studies whether a well-calibrated, pre-trained network can be used for sample selection during the training of another network. The idea is very intuitive: well-calibrated predictions $\implies$ good entropy estimates $\implies$ reliable selection of most informative training samples. I, therefore, think that this paper can facilitate interesting discussions.
rating: 1: accept
confidence: 4: The reviewer is confident but not absolutely certain that the evaluation is correct