On Calibration and Conformal Prediction of Deep Classifiers
On Calibration and Conformal Prediction of Deep Classifiers
In many classification applications, the prediction of a deep neural network (DNN) based classifier needs to be accompanied with some confidence indication. Two popular post-processing approaches for that aim are: 1) calibration: modifying the classifier's softmax values such that their maximum (associated with the prediction) better estimates the correctness probability; …