Scaling Out-of-Distribution Detection for Real-World Settings

Detecting out-of-distribution examples is important for safety-critical machine learning applications such as detecting novel biological phenomena and self-driving cars. However, existing research mainly focuses on simple small-scale settings. To set the stage for more realistic out-of-distribution...

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Bibliographische Detailangaben

Hauptverfasser:	Hendrycks, Dan, Basart, Steven, Mazeika, Mantas, Zou, Andy, Kwon, Joe, Mostajabi, Mohammadreza, Steinhardt, Jacob, Song, Dawn
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
Online-Zugang:	Volltext bestellen
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