ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices
Author:
Affiliation:
1. Northeastern University, Boston, MA, USA
2. Syracuse University, Syracuse, NY, USA
3. University at Buffalo, Buffalo, NY, USA
Funder
National Science Foundation Awards
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3299874.3319492
Reference27 articles.
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4. Xiaoliang Dai Hongxu Yin and Niraj K. Jha. 2017. NeST: a neural network synthesis tool based on a grow-and-prune paradigm. arXiv preprint arXiv:1711.02017 (2017). Xiaoliang Dai Hongxu Yin and Niraj K. Jha. 2017. NeST: a neural network synthesis tool based on a grow-and-prune paradigm. arXiv preprint arXiv:1711.02017 (2017).
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