%0 Conference Paper %1 conf/dac/JainVSCCC18 %A Jain, Shubham %A Venkataramani, Swagath %A Srinivasan, Vijayalakshmi %A Choi, Jungwook %A Chuang, Pierce %A Chang, Leland %B DAC %D 2018 %I ACM %K dblp %P 38:1-38:6 %T Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors. %U http://dblp.uni-trier.de/db/conf/dac/dac2018.html#JainVSCCC18 %@ 978-1-5386-4114-9

@inproceedings{conf/dac/JainVSCCC18, added-at = {2018-11-21T00:00:00.000+0100}, author = {Jain, Shubham and Venkataramani, Swagath and Srinivasan, Vijayalakshmi and Choi, Jungwook and Chuang, Pierce and Chang, Leland}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/26110291ce1f94e8eff8af744de9fdceb/dblp}, booktitle = {DAC}, crossref = {conf/dac/2018}, ee = {https://doi.org/10.1109/DAC.2018.8465893}, interhash = {0d58ec99b1dbd9b936336eb1b8645d48}, intrahash = {6110291ce1f94e8eff8af744de9fdceb}, isbn = {978-1-5386-4114-9}, keywords = {dblp}, pages = {38:1-38:6}, publisher = {ACM}, timestamp = {2019-09-27T18:39:24.000+0200}, title = {Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors.}, url = {http://dblp.uni-trier.de/db/conf/dac/dac2018.html#JainVSCCC18}, year = 2018 }