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Keyword: magnitude-based pruning ×Clear all

2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters

   Lin, Cao, Zhang, Shao, Lin and Ji · IEEE Transactions on Neural Networks and Learning Systems · 2022

   Unchecked2 claims
   Show 2 claims

   1. Unchecked“On ImageNet, it removes 70.2% FLOPs and 64.8% parameters from ResNet-50 with only 1.7% top-5 accuracy drops.”
   2. Unchecked“Both our pruned network structure and the filter selection are non-learning processes, which thus significantly reduce the pruning complexity, and differentiate our method from existing works.”