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

ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning. Zhang, H., Li, J., Kara, K., Alistarh, D., Liu, J., & Zhang, C. In Precup, D. & Teh, Y. W., editors, Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, volume 70, of Proceedings of Machine Learning Research, pages 4035–4043, 2017. PMLR.

Paper bibtex

@INPROCEEDINGS{ZhangLK2017IP,
  author = {Zhang, Hantian and Li, Jerry and Kara, Kaan and Alistarh, Dan and
	Liu, Ji and Zhang, Ce},
  title = {{ZipML}: {Training} {Linear} {Models} with {End}-to-{End} {Low} {Precision},
	and a {Little} {Bit} of {Deep} {Learning}},
  booktitle = {Proceedings of the 34th {International} {Conference} on {Machine}
	{Learning}, {ICML} 2017, {Sydney}, {NSW}, {Australia}, 6-11 {August}
	2017},
  year = {2017},
  editor = {Precup, Doina and Teh, Yee Whye},
  volume = {70},
  series = {Proceedings of {Machine} {Learning} {Research}},
  pages = {4035--4043},
  publisher = {PMLR},
  shorttitle = {{ZipML}},
  url = {http://proceedings.mlr.press/v70/zhang17e.html},
  urldate = {2017-11-14}
}

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