%0 Journal Article %1 journals/apin/WenGHFM21 %A Wen, Nu %A Guo, Renzhong %A He, Biao %A Fan, Yong %A Ma, Ding %D 2021 %J Appl. Intell. %K dblp %N 1 %P 441-452 %T Block-sparse CNN: towards a fast and memory-efficient framework for convolutional neural networks. %U http://dblp.uni-trier.de/db/journals/apin/apin51.html#WenGHFM21 %V 51

@article{journals/apin/WenGHFM21, added-at = {2022-07-11T00:00:00.000+0200}, author = {Wen, Nu and Guo, Renzhong and He, Biao and Fan, Yong and Ma, Ding}, biburl = {https://www.bibsonomy.org/bibtex/250204a9136eccbecb8e52806c4152127/dblp}, ee = {https://doi.org/10.1007/s10489-020-01815-z}, interhash = {b258901d8b2b1c1f2e3f4b96e50c4a2f}, intrahash = {50204a9136eccbecb8e52806c4152127}, journal = {Appl. Intell.}, keywords = {dblp}, number = 1, pages = {441-452}, timestamp = {2024-04-09T02:36:56.000+0200}, title = {Block-sparse CNN: towards a fast and memory-efficient framework for convolutional neural networks.}, url = {http://dblp.uni-trier.de/db/journals/apin/apin51.html#WenGHFM21}, volume = 51, year = 2021 }