Transfer Learning SOTA— Do Adversarially Robust ImageNet Models Transfer Better?

Source: Arxiv

Authors decide to check will adversarial trained network performed better on transfer learning tasks despite on worst accuracy on the trained dataset (ImageNet of course). And it is true.

They tested this idea on a frozen pre-trained feature extractor and trained only linear classifier that outperformed classic counterpart. And…

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