Selective Classification for Deep Neural Networks

Yonatan Geifman
Yonatan Geifman

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), pp. 4878-4887, 2017.

Cited by: 102|Bibtex|Views12
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Selective classification techniques (also known as reject option) have not yet been considered in the context of deep neural networks (DNNs). These techniques can potentially significantly improve DNNs prediction performance by trading-off coverage. In this paper we propose a method to construct a selective classifier given a trained neur...More

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