Pruning from Scratch via Shared Pruning Module and Nuclear norm-based Regularization
Author:
Affiliation:
1. Chungbuk National University,Dept. of Intelligent Systems and Robotics
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10483279/10483282/10483576.pdf?arnumber=10483576
Reference49 articles.
1. ImageNet: A large-scale hierarchical image database
2. Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure
3. Approximated oracle filter pruning for destructive cnn width optimization;Ding
4. The lottery ticket hypothesis: Finding sparse, trainable neural networks;Frankle,2019
5. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding;Han,2015
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