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In this paper we propose a method to construct a selective classifier given a trained neural network

Our method allows a user to set a desired risk level At test time, the classifier rejects instances as needed, to grant the desired risk (with high probability). At test time, the classifier. A deep neural network with an integrated reject option international conference on machine learning (icml 2019) We consider the problem of selective prediction (also known as reject option) in deep neural networks, and introduce selectivenet, a deep neural architecture with an integrated reject option. Selective classification for deep neural networks.

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