mixup: BEYOND EMPIRICAL RISK MINIMIZATION
Empirical Risk Minimization (ERM) principle (Vapnik, 1998). Second, the size of these state-of-the-art neural networks scales linearly with the number of training examples. For instance, the network of Springenberg et al. (2015) used 106 parameters to model the 5104 images in the CIFAR-10 dataset, the network of (Simonyan & Zisserman, 2015) ...
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