Reviews: Attribution-Based Confidence Metric For Deep Neural Networks

Overall Comments This paper is reasonably well motivated and provide justifications for the key use of integrated gradients as part of the computing the confidence score. The paper also presents several empirical demonstrations of the algorithm. The key motivation is that one might want to compute calibration scores without retraining like is typical for isotonic regression and platt scaling. Originality I am not aware of work using integrated gradients for computing calibration scores. However, the literature on interpretability and uncertainty representation is vast.