Importance Estimation for Neural Network Pruning

CVPR 2019 Pavlo MolchanovArun MallyaStephen TyreeIuri FrosioJan Kautz

Structural pruning of neural network parameters reduces computation, energy, and memory transfer costs during inference. We propose a novel method that estimates the contribution of a neuron (filter) to the final loss and iteratively removes those with smaller scores... (read more)

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