DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization

20 August 2022

Papers citing "DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization"

6 / 6 papers shown

Title
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference Zihao Zheng Yuanchun Li Jiayu Chen Peng Zhou Xiang Chen Yunxin Liu 68 0 0 18 Dec 2024
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization Haoran You Yipin Guo Yichao Fu Wei Zhou Huihong Shi Xiaofan Zhang Souvik Kundu Amir Yazdanbakhsh Y. Lin KELM 37 7 0 10 Jun 2024
Overcoming Oscillations in Quantization-Aware Training Markus Nagel Marios Fournarakis Yelysei Bondarenko Tijmen Blankevoort MQ 101 70 0 21 Mar 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 47 75 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 117 321 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 291 1,002 0 10 Feb 2017