%0 Conference Paper %1 conf/ijcnn/LiFPCZ21 %A Li, Baopu %A Fan, Yanwen %A Pan, Zhihong %A Cheng, Zhiyu %A Zhang, Gang %B IJCNN %D 2021 %I IEEE %K dblp %P 1-8 %T Cursor-based Adaptive Quantization for Deep Convolutional Neural Network. %U http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2021.html#LiFPCZ21 %@ 978-1-6654-3900-8

@inproceedings{conf/ijcnn/LiFPCZ21, added-at = {2022-10-02T00:00:00.000+0200}, author = {Li, Baopu and Fan, Yanwen and Pan, Zhihong and Cheng, Zhiyu and Zhang, Gang}, biburl = {https://www.bibsonomy.org/bibtex/2ae7e08693f8859ebfab8a1e16ad5166a/dblp}, booktitle = {IJCNN}, crossref = {conf/ijcnn/2021}, ee = {https://doi.org/10.1109/IJCNN52387.2021.9533578}, interhash = {b5ddc367e5b777715e3bc6beb9c7849a}, intrahash = {ae7e08693f8859ebfab8a1e16ad5166a}, isbn = {978-1-6654-3900-8}, keywords = {dblp}, pages = {1-8}, publisher = {IEEE}, timestamp = {2024-04-09T23:43:57.000+0200}, title = {Cursor-based Adaptive Quantization for Deep Convolutional Neural Network.}, url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2021.html#LiFPCZ21}, year = 2021 }