Cheap DNN Pruning with Performance Guarantees

ICLR 2018 Konstantinos PitasMike DaviesPierre Vandergheynst

Recent DNN pruning algorithms have succeeded in reducing the number of parameters in fully connected layers often with little or no drop in classification accuracy. However most of the existing pruning schemes either have to be applied during training or require a costly retraining procedure after pruning to regain classification accuracy... (read more)

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