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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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03/20/2020
Adversarial Robustness on In- and Out-Distribution Improves Explainability
Neural networks have led to major improvements in image classification b...
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09/26/2019