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06/01/2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
Out-of-distribution (OOD) detection is the problem of identifying inputs...
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06/20/2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
It is an important problem in trustworthy machine learning to recognize ...
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06/08/2021
Provably Robust Detection of Out-of-distribution Data (almost) for free
When applying machine learning in safety-critical systems, a reliable as...
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07/16/2020
Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data
Deep neural networks are known to be overconfident when applied to out-o...
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01/16/2020
Increasing the robustness of DNNs against image corruptions by playing the Game of Noise
The human visual system is remarkably robust against a wide range of nat...
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12/13/2018