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.
Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors [link]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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