【作者单位】Affiliations 1 Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences (CAS), Chongqing, China. 2 School of Information Science and Technology, Tibet University, Lhasa, China.
【摘要】 Neural network pruning is critical to alleviating the high computational cost of deep neural networks on resource-limited devices. Conventional network pruning methods compress the network based on the hand-crafted rules with a pre-defined pruning ra...
