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07/26/2021
Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
Synthetic corruptions gathered into a benchmark are frequently used to m...
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05/26/2021
Using the Overlapping Score to Improve Corruption Benchmarks
Neural Networks are sensitive to various corruptions that usually occur ...
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08/19/2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
Despite their performance, Artificial Neural Networks are not reliable e...
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09/04/2019