NACP estimates the clean-label conformal threshold from noisy calibration data and provides a finite-sample coverage bound that does not grow with the number of classes.
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Conformal Prediction of Classifiers with Many Classes based on Noisy Labels
NACP estimates the clean-label conformal threshold from noisy calibration data and provides a finite-sample coverage bound that does not grow with the number of classes.