Web: http://arxiv.org/abs/2203.01572

Sept. 22, 2022, 1:12 a.m. | Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar

cs.LG updates on arXiv.org arxiv.org

Data augmentation is a cornerstone of the machine learning pipeline, yet its
theoretical underpinnings remain unclear. Is it merely a way to artificially
augment the data set size? Or is it about encouraging the model to satisfy
certain invariance? In this work we consider another angle, and we study the
effect of data augmentation on the dynamic of the learning process. We find
that data augmentation can alter the relative importance of various features,
effectively making certain informative but hard …

arxiv augmentation data feature

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