%0 Conference Paper %1 conf/vlsi-dat/LiuLLSL18 %A Liu, Ren-Shuo %A Lo, Yun-Chen %A Luo, Yuan-Chun %A Shen, Chih-Yu %A Lee, Cheng-Ju %B VLSI-DAT %D 2018 %I IEEE %K dblp %P 1-4 %T DrowsyNet: Convolutional neural networks with runtime power-accuracy tunability using inference-stage dropout. %U http://dblp.uni-trier.de/db/conf/vlsi-dat/vlsi-dat2018.html#LiuLLSL18 %@ 978-1-5386-4260-3

@inproceedings{conf/vlsi-dat/LiuLLSL18, added-at = {2018-06-13T00:00:00.000+0200}, author = {Liu, Ren-Shuo and Lo, Yun-Chen and Luo, Yuan-Chun and Shen, Chih-Yu and Lee, Cheng-Ju}, biburl = {https://www.bibsonomy.org/bibtex/24debd7dbfcaf6814bd5180a4260b69f2/dblp}, booktitle = {VLSI-DAT}, crossref = {conf/vlsi-dat/2018}, ee = {https://doi.org/10.1109/VLSI-DAT.2018.8373242}, interhash = {17ce66867354d3996e76842d58f6a172}, intrahash = {4debd7dbfcaf6814bd5180a4260b69f2}, isbn = {978-1-5386-4260-3}, keywords = {dblp}, pages = {1-4}, publisher = {IEEE}, timestamp = {2018-06-14T11:37:37.000+0200}, title = {DrowsyNet: Convolutional neural networks with runtime power-accuracy tunability using inference-stage dropout.}, url = {http://dblp.uni-trier.de/db/conf/vlsi-dat/vlsi-dat2018.html#LiuLLSL18}, year = 2018 }