What is recorded here?
Trains a representation or detector with a complementary outlier loss on a diverse auxiliary dataset disjoint from the test anomalies, improving selected image and text anomaly detection.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Generalization to unseen anomalies is empirically demonstrated, not universal. Choice and overlap of auxiliary data matter; original methodology differs from methods tuned to each tested OOD source and results are not automatically comparable.
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People and systems
Dan Hendrycks; Mantas Mazeika; Thomas G. Dietterich
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Outlier Exposure: anomaly detection trained with auxiliary outlier data
Trains a representation or detector with a complementary outlier loss on a diverse auxiliary dataset disjoint from the test anomalies, improving selected image and text anomaly detection.
Scientific scope
Generalization to unseen anomalies is empirically demonstrated, not universal. Choice and overlap of auxiliary data matter; original methodology differs from methods tuned to each tested OOD source and results are not automatically comparable.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Dan Hendrycks; Mantas Mazeika; Thomas G. Dietterich
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.