Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks

DeepShift: Towards Multiplication-Less Neural Networks

Original

Mostafa Elhoushi, Farhan Shafiq, Ye Henry Tian, Joey Yiwei Li, and Zihao Chen. 2019 · 1905

Earlier work this paper cites.

Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks

Original

Yuhang Li, Xin Dong, and Wei Wang. 2019 · 1909

Earlier work this paper cites.

Convolutional Neural Networks using Logarithmic Data Representation

Original

Daisuke Miyashita, Edward H. Lee, and Boris Murmann. 2016 · 2016

Earlier work this paper cites.

LogNet: Energy-efficient neural networks using logarithmic computation. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . 5900–5904

Edward H. Lee, Daisuke Miyashita, Elaina Chai, Boris Murmann, and S. Simon Wong. 2017 · 2017

Earlier work this paper cites.

A Deep Look into Logarithmic Quantization of Model Parameters in Neural Networks. In Proceedings of the 10th International Conference on Advances in Information Technology (Bangkok, Thailand) (IAIT 2018) . Association for Computing Machinery, New York, NY, USA, Article 6, 8 pages

Jingyong Cai, Masashi Takemoto, and Hironori Nakajo. 2018 · 2018

Cited alongside, same era.

ShiftAddNet: A Hardware-Inspired Deep Network. In Thirty-fourth Conference on Neural Information Processing Systems

Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, and Yingyan Lin. 2020 · 2020

Cited alongside, same era.

Ethos-u Vela

[n.d.]a · 2021

Cited alongside, same era.

Ethos-U55

[n.d.]b · 2021

Later among the works it cites.

Zynq 7000 Xilinx

[n.d.] · 2021

Later among the works it cites.

A Survey of Quantization Methods for Efficient Neural Network Inference

Original

Amir Gholami, Sehoon Kim, Zhen Dong, Zhewei Yao, Michael W. Mahoney, and Kurt Keutzer. 2021 · 2021

Later among the works it cites.