Learning to Search Efficient DenseNet with Layer-wise Pruning

ICLR 2019 Xuanyang ZhangHao liuZhanxing ZhuZenglin Xu

Deep neural networks have achieved outstanding performance in many real-world applications with the expense of huge computational resources. The DenseNet, one of the recently proposed neural network architecture, has achieved the state-of-the-art performance in many visual tasks... (read more)

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