Abstract: Structural pruning enables model acceleration by removing structurally-grouped parameters from neural networks. However, the parameter-grouping patterns vary widely across different models, ...
Pruning Exceptions: Single blooming roses should be pruned after blooming. Two types of single-blooming roses that are common ...
Abstract: Neural network pruning is a popular and promising approach aiming at reducing heavy networks to lightweight ones by removing redundancies. Most existing methods adopt a three-stage pipeline, ...
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