Manifold Mixup: Learning Better Representations by Interpolating Hidden States

    Vikas Verma
    Vikas Verma
    Alex Lamb
    Alex Lamb
    Christopher Beckham
    Christopher Beckham

    arXiv: Machine Learning, 2018.

    Cited by: 1|Bibtex|Views17|

    Abstract:

    Deep networks often perform well on the data distribution on which they are trained, yet give incorrect (and often very confident) answers when evaluated on points from off of the training distribution. This is exemplified by the adversarial examples phenomenon but can also be seen in terms of model generalization and domain shift. Ideall...More

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