Selective Classification via One-Sided Prediction

Aditya Gangrade
Aditya Gangrade
Anil Kag
Anil Kag

AISTATS, pp. 2179-2187, 2021.

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Abstract:

We propose a novel method for selective classification (SC), a problem which allows a classifier to abstain from predicting some instances, thus trading off accuracy against coverage (the fraction of instances predicted). In contrast to prior gating or confidence-set based work, our proposed method optimises a collection of class-wise d...More

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