ShakeDrop Regularization for Deep Residual Learning

7 Feb 2018Yoshihiro YamadaMasakazu IwamuraTakuya AkibaKoichi Kise

Overfitting is a crucial problem in deep neural networks, even in the latest network architectures. In this paper, to relieve the overfitting effect of ResNet and its improvements (i.e., Wide ResNet, PyramidNet, and ResNeXt), we propose a new regularization method called ShakeDrop regularization... (read more)

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