Deep Neural Network Acceleration Based on Low-Rank Approximated Channel Pruning-Reference-Cited by-同舟云学术

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Deep Neural Network Acceleration Based on Low-Rank Approximated Channel Pruning

Published:2020-04 Issue:4 Volume:67 Page:1232-1244
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Chen Zhen^ORCID,Chen Zhibo^ORCID,Lin Jianxin,Liu Sen,Li Weiping

Funder

National Natural Science Foundation of China

National Basic Research Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8919/9049235/08948329.pdf?arnumber=8948329

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2. Generative Data Free Model Quantization With Knowledge Matching for Classification;IEEE Transactions on Circuits and Systems for Video Technology;2023-12

3. An Efficient CNN Accelerator Achieving High PE Utilization Using a Dense-/Sparse-Aware Redundancy Reduction Method and Data–Index Decoupling Workflow;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2023-10

4. Exploiting Channel Similarity for Network Pruning;IEEE Transactions on Circuits and Systems for Video Technology;2023-09

5. Energy-Efficient Single-Core Hardware Acceleration;Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning;2023-07-03

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