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DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two
  Quantization
v1v2v3 (latest)

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

IEEE International Conference on Computer Vision (ICCV), 2022
20 August 2022
Xinlin Li
Bangya Liu
Ruizhi Yang
Vanessa Courville
Chao Xing
V. Nia
    MQ
ArXiv (abs)PDFHTML

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

3 / 3 papers shown
Rescaling-Aware Training for Efficient Deployment of Deep Learning Models on Full-Integer Hardware
Rescaling-Aware Training for Efficient Deployment of Deep Learning Models on Full-Integer Hardware
Lion Mueller
Alberto García-Ortiz
Ardalan Najafi
Adam Fuks
Lennart Bamberg
MQ
121
0
0
13 Oct 2025
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference
Zihao Zheng
Yan Liang
Jiayu Chen
Peng Zhou
Xiang Chen
Yunxin Liu
414
0
0
18 Dec 2024
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training
  Multiplication-Less Reparameterization
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less ReparameterizationNeural Information Processing Systems (NeurIPS), 2024
Haoran You
Yipin Guo
Yichao Fu
Wei Zhou
Huihong Shi
Xiaofan Zhang
Souvik Kundu
Amir Yazdanbakhsh
Y. Lin
KELM
376
26
0
10 Jun 2024
1
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