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What's more, another paper on AAAI 2020, Reborn filters: Pruning convolutional neural networks with limited data, proposes a filter pruning method to reduce the computation cost. The paper link is https://ojs.aaai.org/index.php/AAAI/article/view/6058
Thanks!
The text was updated successfully, but these errors were encountered:
Hi Yang,
Thanks for the awesome paper list for network pruning! Here are our papers and codes about pruning.
The code of NeurIPS 2020 paper 'SCOP: Scientific Control for Reliable Neural Network Pruning' has been released and the link is
https://github.com/huawei-noah/Pruning/tree/master/SCOP_NeurIPS2020. The code is written with Pytorch.
What's more, another paper on AAAI 2020, Reborn filters: Pruning convolutional neural networks with limited data, proposes a filter pruning method to reduce the computation cost. The paper link is https://ojs.aaai.org/index.php/AAAI/article/view/6058
Thanks!
The text was updated successfully, but these errors were encountered: