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Model Compression
标签
2022
06-11
知识迁移
06-11
网络剪枝
01-27
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets
2021
08-10
Paying More Attention to Attention
08-08
FitNets: Hints for Thin Deep Nets
08-07
Distilling the Knowledge in a Neural Network
07-24
Lossless CNN Channel Pruning via Decoupling Remembering and Forgetting
07-02
Learning both Weights and Connections for Efficient Neural Networks
06-29
Learning Structured Sparsity in Deep Neural Networks
06-20
Rethinking the Value of Network Pruning
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