On Calibration of Modern Neural Networks

December 2019

tl;dr: Invented one simple yet effective method (temperature scaling) for CNN classifiers.

Overall impression

This paper is one of the first and most cited papers in calibration of neural networks.

In real world decision making systems, cls networks must not only be accurate but also should indicate when they are likely to be incorrect.

Key ideas

Technical details