Just read this paper from Facebook AI written by among others senior author Yann LeCun (Chief AI Scientist of Facebook).
This research paper describes a serious critique of two very common practices in machine/deep learning, i.e. data augmentation and weight decay.
However, I suspect a similar critique also applies to the imbalance of classes represented in the usual datasets.
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