NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:1674
Title:Addressing Failure Prediction by Learning Model Confidence

The paper proposes a way to learn model confidence, and shows that the proposed method better predicts mis-classifications ("failures"). All the reviewers voted to accept the paper. The reviewers raised a couple of questions initially: the authors have already addressed some of these questions in their rebuttal, which is appreciated. I encourage the authors to take into account the remaining suggestions when preparing the final version.