Understanding Simultaneous Train and Test RobustnessDownload PDFOpen Website

2022 (modified: 24 Apr 2023)ALT 2022Readers: Everyone
Abstract: This work concerns the study of robust learning algorithms. In practical settings, it is desirable to achieve robustness to many different types of corruptions and shifts in the data distribution s...
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