DropBlock: A regularization method for convolutional networks

    Golnaz Ghiasi
    Golnaz Ghiasi

    NeurIPS, 2018.

    Cited by: 71|Bibtex|Views31|Links
    EI
    Keywords:
    deep neural networksweight decay

    Abstract:

    Deep neural networks often work well when they are over-parameterized and trained with a massive amount of noise and regularization, such as weight decay and dropout. Although dropout is widely used as a regularization technique for fully connected layers, it is often less effective for convolutional layers. This lack of success of dropou...More

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