Amir Rahimi

Intra Order-preserving Functions for Calibration of Multi-Class Neural\n Networks

2020 · arXiv (Cornell University)

Predicting calibrated confidence scores for multi-class deep networks is\nimportant for avoiding rare but costly mistakes. A common approach is to learn\na post-hoc calibration function that transforms the output of the original\nnetwork into calibrated confidence scores …