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Seungmo Seo

1 accepted papers

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…