Preprint
Aug 2026
Confidence Calibration of Deep Learning Systems
This thesis develops methods for improving calibration under label noise and studies calibration in unsupervised domain adaptation, where a model trained on a labeled source domain is adapted to an unlabeled target domain.
Coby Penso
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