2023
Scaling of Class-wise Training Losses for Post-hoc Calibration
ICML 2023poster
The class-wise training losses often diverge as a result of the various levels of intra-class and inter-class appearance variation, and we find that the diverging class-wise training losses cause the uncalibrated prediction with its reliability. To resolve the issue, we propose a new calibration met…