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10/09/2019
Out-of-distribution Detection in Classifiers via Generation
By design, discriminatively trained neural network classifiers produce r...
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04/27/2019
Analysis of Confident-Classifiers for Out-of-distribution Detection
Discriminatively trained neural classifiers can be trusted, only when th...
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12/06/2018
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance
There is an increasingly apparent need for validating the classification...
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11/27/2018
