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TargetDrop: A Targeted Regularization Method for Convolutional Neural Networks
Dropout regularization has been widely used in deep learning but performs less effective for convolutional neural networks since the spatially correlated features allow dropped information to still flow through the networks. Some structured forms of dropout have been proposed to address this but are prone to result in over or …