Ma, Xiaolong, Lin, Sheng, Ye, Shaokai, He, Zhezhi, Zhang, Linfeng, Yuan, Geng, Tan, Sia Huat, Li, Zhengang, Fan, Deliang, Qian, Xuehai, Lin, Xue, Ma, Kaisheng, and Wang, Yanzhi. Non-Structured DNN Weight Pruning--Is It Beneficial in Any Platform?. Retrieved from https://par.nsf.gov/biblio/10232488. IEEE Transactions on Neural Networks and Learning Systems . Web. doi:10.1109/TNNLS.2021.3063265.

Ma, Xiaolong, Lin, Sheng, Ye, Shaokai, He, Zhezhi, Zhang, Linfeng, Yuan, Geng, Tan, Sia Huat, Li, Zhengang, Fan, Deliang, Qian, Xuehai, Lin, Xue, Ma, Kaisheng, & Wang, Yanzhi. Non-Structured DNN Weight Pruning--Is It Beneficial in Any Platform?. IEEE Transactions on Neural Networks and Learning Systems, (). Retrieved from https://par.nsf.gov/biblio/10232488. https://doi.org/10.1109/TNNLS.2021.3063265

Ma, Xiaolong, Lin, Sheng, Ye, Shaokai, He, Zhezhi, Zhang, Linfeng, Yuan, Geng, Tan, Sia Huat, Li, Zhengang, Fan, Deliang, Qian, Xuehai, Lin, Xue, Ma, Kaisheng, and Wang, Yanzhi. "Non-Structured DNN Weight Pruning--Is It Beneficial in Any Platform?". IEEE Transactions on Neural Networks and Learning Systems (). Country unknown/Code not available. https://doi.org/10.1109/TNNLS.2021.3063265. https://par.nsf.gov/biblio/10232488.

@article{osti_10232488,
place = {Country unknown/Code not available}, title = {Non-Structured DNN Weight Pruning--Is It Beneficial in Any Platform?}, url = {https://par.nsf.gov/biblio/10232488}, DOI = {10.1109/TNNLS.2021.3063265}, abstractNote = {}, journal = {IEEE Transactions on Neural Networks and Learning Systems}, author = {Ma, Xiaolong and Lin, Sheng and Ye, Shaokai and He, Zhezhi and Zhang, Linfeng and Yuan, Geng and Tan, Sia Huat and Li, Zhengang and Fan, Deliang and Qian, Xuehai and Lin, Xue and Ma, Kaisheng and Wang, Yanzhi}, editor = {null} }