Selective Classification via One-Sided Prediction
AISTATS, pp. 2179-2187, 2021.
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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