Li, Hongjia, Liu, Ning, Ma, Xiaolong, Lin, Sheng, Ye, Shaokai, Zhang, Tianyun, Lin, Xue, Xu, Wenyao, and Wang, Yanzhi. ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. Retrieved from https://par.nsf.gov/biblio/10119283. GLSVLSI '19 Proceedings of the 2019 on Great Lakes Symposium on VLSI . Web. doi:10.1145/3299874.3319492.

Li, Hongjia, Liu, Ning, Ma, Xiaolong, Lin, Sheng, Ye, Shaokai, Zhang, Tianyun, Lin, Xue, Xu, Wenyao, & Wang, Yanzhi. ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. GLSVLSI '19 Proceedings of the 2019 on Great Lakes Symposium on VLSI, (). Retrieved from https://par.nsf.gov/biblio/10119283. https://doi.org/10.1145/3299874.3319492

Li, Hongjia, Liu, Ning, Ma, Xiaolong, Lin, Sheng, Ye, Shaokai, Zhang, Tianyun, Lin, Xue, Xu, Wenyao, and Wang, Yanzhi. "ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices". GLSVLSI '19 Proceedings of the 2019 on Great Lakes Symposium on VLSI (). Country unknown/Code not available. https://doi.org/10.1145/3299874.3319492. https://par.nsf.gov/biblio/10119283.

@article{osti_10119283,
place = {Country unknown/Code not available}, title = {ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices}, url = {https://par.nsf.gov/biblio/10119283}, DOI = {10.1145/3299874.3319492}, abstractNote = {}, journal = {GLSVLSI '19 Proceedings of the 2019 on Great Lakes Symposium on VLSI}, author = {Li, Hongjia and Liu, Ning and Ma, Xiaolong and Lin, Sheng and Ye, Shaokai and Zhang, Tianyun and Lin, Xue and Xu, Wenyao and Wang, Yanzhi}, }