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Arm Intel Comparison

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Preview of Compounded Corruption: A Fast and Effective Data Augmentation Technique for Out-of-Distribution Sample Detection
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Compounded Corruption: A Fast and Effective Data Augmentation Technique for Out-of-Distribution Sample Detection (2207.13916.pdf)

4.72 MBEN 43 pages
A novel data augmentation technique, Compounded Corruptions (CnC), creates synthetic out-of-distribution samples by corrupting in-distribution data, enabling the training of effective OOD detection classifiers without requiring labeled OOD examples.
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