RotationOut as a Regularization Method for Neural Network

ICLR 2020 Kai HuBarnabas Poczos

In this paper, we propose a novel regularization method, RotationOut, for neural networks. Different from Dropout that handles each neuron/channel independently, RotationOut regards its input layer as an entire vector and introduces regularization by randomly rotating the vector... (read more)

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