Artificial Intelligence, Technology, Conference, Iclr 2020, Neural Networks.
i.e. when the neural network predicts the probability of the image belongs to class A is 0.8, it is not more confident than a prediction of probability 0.4. The authors attribute this to “the networks are less calibrated, meaning their estimate of p(y|x) does not reflect the true misclassification