Shift Pruning: Equivalent Weight Pruning for CNN via Differentiable Shift Operator

Author:

Niu Tao1ORCID,Lou Yihang2ORCID,Teng Yinglei1ORCID,He Jianzhong2ORCID,Liu Yiding1ORCID

Affiliation:

1. Beijing University of Posts and Telecommunications, Beijing, China

2. Huawei Technology, Beijing, China

Funder

the National Key R&D Program of China

National Natural Science Foundation of China

Publisher

ACM

Reference63 articles.

1. Manoj Alwani , Vashisht Madhavan , and Yang Wang . 2021 . DECORE: Deep Compression with Reinforcement Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), 12339--12349. Manoj Alwani, Vashisht Madhavan, and Yang Wang. 2021. DECORE: Deep Compression with Reinforcement Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), 12339--12349.

2. Manoj Alwani , Vashisht Madhavan , and Yang Wang . 2022 . DECORE: Deep Compression with Reinforcement Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), 12339--12349. Manoj Alwani, Vashisht Madhavan, and Yang Wang. 2022. DECORE: Deep Compression with Reinforcement Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), 12339--12349.

3. Matthieu Courbariaux , Itay Hubara , Daniel Soudry , Ran El-Yaniv , and Yoshua Bengio . 2016. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to 1 or -1. arXiv: Learning ( 2016 ). Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio. 2016. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to 1 or -1. arXiv: Learning (2016).

4. Emily L. Denton , Wojciech Zaremba , Joan Bruna , Yann LeCun , and Rob Fergus . 2014. Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. ArXiv , Vol. abs/ 1404 .0736 ( 2014 ). Emily L. Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, and Rob Fergus. 2014. Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. ArXiv, Vol. abs/1404.0736 (2014).

5. Xiaohan Ding , Guiguang Ding , Yuchen Guo , and J. Han . 2019 . Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ( 2019 ), 4938--4948. Xiaohan Ding, Guiguang Ding, Yuchen Guo, and J. Han. 2019. Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), 4938--4948.

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