Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors. Jain, S., Venkataramani, S., Srinivasan, V., Choi, J., Chuang, P., & Chang, L. In Proceedings of the 55th Annual Design Automation Conference, DAC 2018, San Francisco, CA, USA, June 24-29, 2018, pages 38:1–38:6, 2018. ACM.
Paper doi bibtex @inproceedings{DBLP:conf/dac/JainVSCCC18,
author = {Shubham Jain and
Swagath Venkataramani and
Vijayalakshmi Srinivasan and
Jungwook Choi and
Pierce Chuang and
Leland Chang},
title = {Compensated-DNN: energy efficient low-precision deep neural networks
by compensating quantization errors},
booktitle = {Proceedings of the 55th Annual Design Automation Conference, {DAC}
2018, San Francisco, CA, USA, June 24-29, 2018},
pages = {38:1--38:6},
publisher = {{ACM}},
year = {2018},
url = {https://doi.org/10.1145/3195970.3196012},
doi = {10.1145/3195970.3196012},
timestamp = {Wed, 16 Oct 2019 14:14:54 +0200},
biburl = {https://dblp.org/rec/conf/dac/JainVSCCC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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