LAASP prunes neural networks during training by greedily selecting the best layer and filter-importance criterion at each step using the network's loss on a data subset.
Learning filter pruning criteria for deep convolutional neural networks acceleration,
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Loss-Aware Automatic Selection of Structured Pruning Criteria for Deep Neural Network Acceleration
LAASP prunes neural networks during training by greedily selecting the best layer and filter-importance criterion at each step using the network's loss on a data subset.