$S^3$ : Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks

7 July 2021

Papers citing "$S^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks"

4 / 4 papers shown

Title
Standard Deviation-Based Quantization for Deep Neural Networks Amir Ardakani A. Ardakani B. Meyer J. Clark W. Gross MQ 49 1 0 24 Feb 2022
ShiftAddNet: A Hardware-Inspired Deep Network Haoran You Xiaohan Chen Yongan Zhang Chaojian Li Sicheng Li Zihao Liu Zhangyang Wang Yingyan Lin OOD MQ 73 76 0 24 Oct 2020
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 131 324 0 24 Sep 2019
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 322 1,049 0 10 Feb 2017