Agnostic Selective Classification

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Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics (2016, background): “[1, 30] also focuses on classification with an abstain option.”
Deep Anomaly Detection Using Geometric Transformations (2018, background): “Some examples are open-world classification, selective classification and regression [36, 35, 13], uncertainty estimation [15], and deep active learning [12, 14].”
Learning with Rejection (2016, methodology): “Using a different approach based on active learning, El-Yaniv and Wiener [11] study the trade-off between coverage and accuracy of classifiers and in a subsequent paper, [12], they provide a strategy to learn a certain type of selective classification, which they define as ”weakly optimal,” that has”