Improving Calibration by Relating Focal Loss, Temperature Scaling, and Properness

Viacheslav Komisarenko, Meelis Kull

Proper losses such as cross-entropy incentivize classifiers to produce class probabilities that are well-calibrated on the training data. Due to the generalization gap, these class…