%0 Journal Article %1 journals/tvlsi/XueLLHWLZLL23 %A Xue, Xinghua %A Liu, Cheng %A Liu, Bo %A Huang, Haitong %A Wang, Ying %A Luo, Tao %A Zhang, Lei %A Li, Huawei %A Li, Xiaowei %D 2023 %J IEEE Trans. Very Large Scale Integr. Syst. %K dblp %N 11 %P 1763-1773 %T Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance. %U http://dblp.uni-trier.de/db/journals/tvlsi/tvlsi31.html#XueLLHWLZLL23 %V 31

@article{journals/tvlsi/XueLLHWLZLL23, added-at = {2024-07-18T00:00:00.000+0200}, author = {Xue, Xinghua and Liu, Cheng and Liu, Bo and Huang, Haitong and Wang, Ying and Luo, Tao and Zhang, Lei and Li, Huawei and Li, Xiaowei}, biburl = {https://www.bibsonomy.org/bibtex/21c2d6f5dc988303a42bfaf979dd3ce0a/dblp}, ee = {https://doi.org/10.1109/TVLSI.2023.3306894}, interhash = {c0d4a059ab60faef9f6c772bc4639227}, intrahash = {1c2d6f5dc988303a42bfaf979dd3ce0a}, journal = {IEEE Trans. Very Large Scale Integr. Syst.}, keywords = {dblp}, month = {November}, number = 11, pages = {1763-1773}, timestamp = {2024-07-22T07:05:10.000+0200}, title = {Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance.}, url = {http://dblp.uni-trier.de/db/journals/tvlsi/tvlsi31.html#XueLLHWLZLL23}, volume = 31, year = 2023 }