DSIRBS : A Layer-wise Balanced DNN Weight Pruning Method

Author:

Qian Xifu1ORCID,Jiang Jingfei1ORCID,Xu Jinwei1ORCID,Gao Caili1ORCID,Xu Qisheng1ORCID

Affiliation:

1. National Key Laboratory for Parallel and Distributed Processing, National University of Defense Technology, China

Publisher

ACM

Reference19 articles.

1. Shih Kang Chao , Zhanyu Wang , Yue Xing , and Guang Cheng . 2020. Directional Pruning of Deep Neural Networks. CoRR abs/2006.09358 ( 2020 ). Shih Kang Chao, Zhanyu Wang, Yue Xing, and Guang Cheng. 2020. Directional Pruning of Deep Neural Networks. CoRR abs/2006.09358 (2020).

2. ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting

3. A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs

4. Seyed Abolfazl Ghasemzadeh , Erfan Bank Tavakoli , Mehdi Kamal , Ali Afzali Kusha , and Massoud Pedram . 2021 . BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification. CoRR abs/2101.02667 (2021). Seyed Abolfazl Ghasemzadeh, Erfan Bank Tavakoli, Mehdi Kamal, Ali Afzali Kusha, and Massoud Pedram. 2021. BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification. CoRR abs/2101.02667 (2021).

5. Song Han , Jeff Pool , John Tran , and William  J. Dally . 2015. Learning Both Weights and Connections for Efficient Neural Networks . In NIPS’15 . Cambridge, MA , USA , 1135–1143. Song Han, Jeff Pool, John Tran, and William J. Dally. 2015. Learning Both Weights and Connections for Efficient Neural Networks. In NIPS’15. Cambridge, MA, USA, 1135–1143.

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