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We critically appraise the recent interest in out-of-distribution (OOD) detection and question the practical relevance of existing benchmarks.
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Learning confidence for out-of-distribution detection in neural networks
Terrance DeVries and Graham W. Taylor · 2018
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Kimin Lee, Honglak Lee, Kibok Lee, and Jinwoo Shin · 2018
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Gabi Shalev, Yossi Adi, and Joseph Keshet · 2018
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Aäron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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