CPOT: Channel Pruning via Optimal Transport

21 May 2020Yucong ShenLi ShenHao-Zhi HuangXuan WangWei Liu

Recent advances in deep neural networks (DNNs) lead to tremendously growing network parameters, making the deployments of DNNs on platforms with limited resources extremely difficult. Therefore, various pruning methods have been developed to compress the deep network architectures and accelerate the inference process... (read more)

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