ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning

Hantian Zhang, Jerry Li 0001, Kaan Kara, Dan Alistarh, Ji Liu, Ce Zhang. ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning. In Doina Precup, Yee Whye Teh, editors, Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017. Volume 70 of JMLR Workshop and Conference Proceedings, pages 4035-4043, JMLR.org, 2017. [doi]

@inproceedings{Zhang0KALZ17,
  title = {ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning},
  author = {Hantian Zhang and Jerry Li 0001 and Kaan Kara and Dan Alistarh and Ji Liu and Ce Zhang},
  year = {2017},
  url = {http://proceedings.mlr.press/v70/zhang17e.html},
  researchr = {https://researchr.org/publication/Zhang0KALZ17},
  cites = {0},
  citedby = {0},
  pages = {4035-4043},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017},
  editor = {Doina Precup and Yee Whye Teh},
  volume = {70},
  series = {JMLR Workshop and Conference Proceedings},
  publisher = {JMLR.org},
}