SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks

Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong. SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks. In 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018. pages 4300-4309, IEEE Computer Society, 2018. [doi]

@inproceedings{FaraoneFBL18,
  title = {SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks},
  author = {Julian Faraone and Nicholas J. Fraser and Michaela Blott and Philip H. W. Leong},
  year = {2018},
  url = {http://openaccess.thecvf.com/content_cvpr_2018/html/Faraone_SYQ_Learning_Symmetric_CVPR_2018_paper.html},
  researchr = {https://researchr.org/publication/FaraoneFBL18},
  cites = {0},
  citedby = {0},
  pages = {4300-4309},
  booktitle = {2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018},
  publisher = {IEEE Computer Society},
}