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Microsoft & MIT Apply Adversarially Robust Models for Better Transfer Learning

Transfer learning is helpful deep learning technique that enables AI researchers and developers to harness a neural network used for one task and apply it to another domain, especially when data for the new domain is insufficient. Previous work in this area has indicated that accuracy on the source dataset can be a strong indicator of transfer accuracy on…

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