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