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Selective Prediction is the task of rejecting inputs a model would predict incorrectly on.
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Checkpoint ensembles: Ensemble methods from a single training process
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Selective classification for deep neural networks
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On calibration of modern neural networks
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q Weinberger · 2017
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Simple and scalable predictive uncertainty estimation using deep ensembles
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Regression with reject option and application to knn
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Deep learning through the lens of example difficulty
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Selective prediction-set models with coverage rate guarantees
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Selective classification via one-sided prediction
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Generating and characterizing scenarios for safety testing of autonomous vehicles
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Understanding out-of-distribution: A perspective of data dynamics
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Window-based distribution shift detection for deep neural networks
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Confidence-aware contrastive learning for selective classification
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