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Found 3 papers, 1 papers with code
REPrune: Channel Pruning via Kernel Representative Selection
Channel pruning is widely accepted to accelerate modern convolutional neural networks (CNNs).
Neuron Merging: Compensating for Pruned Neurons
Network pruning is widely used to lighten and accelerate neural network models.
REPrune: Filter Pruning via Representative Election
Even though norm-based filter pruning methods are widely accepted, it is questionable whether the "smaller-norm-less-important" criterion is optimal in determining filters to prune.
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