NISP: Pruning Networks Using Neuron Importance Score Propagation
NISP: Pruning Networks Using Neuron Importance Score Propagation
To reduce the significant redundancy in deep Convolutional Neural Networks (CNNs), most existing methods prune neurons by only considering the statistics of an individual layer or two consecutive layers (e.g., prune one layer to minimize the reconstruction error of the next layer), ignoring the effect of error propagation in deep …