Despite the impressive generalization capabilities of deep neural networ...
Sparse coding refers to modeling a signal as sparse linear combinations ...
Mixup is a data augmentation technique that relies on training using ran...
In the Mixup training paradigm, a model is trained using convex combinat...
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