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HPTQ: Hardware-Friendly Post Training Quantization
v1v2v3 (latest)

HPTQ: Hardware-Friendly Post Training Quantization

19 September 2021
H. Habi
Reuven Peretz
Elad Cohen
Lior Dikstein
Oranit Dror
I. Diamant
Roy H. Jennings
Arnon Netzer
    MQ
ArXiv (abs)PDFHTML

Papers citing "HPTQ: Hardware-Friendly Post Training Quantization"

8 / 8 papers shown
PicoSAM2: Low-Latency Segmentation In-Sensor for Edge Vision Applications
PicoSAM2: Low-Latency Segmentation In-Sensor for Edge Vision Applications
Pietro Bonazzi
Nicola Farronato
Stefan Zihlmann
Haotong Qin
Michele Magno
VLM
323
5
0
23 Jun 2025
EfficientQuant: An Efficient Post-Training Quantization for CNN-Transformer Hybrid Models on Edge Devices
EfficientQuant: An Efficient Post-Training Quantization for CNN-Transformer Hybrid Models on Edge Devices
Shaibal Saha
Lanyu Xu
MQ
261
1
0
05 Jun 2025
Data Generation for Hardware-Friendly Post-Training Quantization
Data Generation for Hardware-Friendly Post-Training QuantizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Lior Dikstein
Ariel Lapid
Arnon Netzer
H. Habi
MQ
1.0K
2
0
29 Oct 2024
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs
  in Resource-Constrained Edge Environment
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment
Atah Nuh Mih
Alireza Rahimi
Asfia Kawnine
Francis Palma
Monica Wachowicz
R. Dubay
Hung Cao
313
1
0
14 Mar 2024
EPTQ: Enhanced Post-Training Quantization via Label-Free Hessian
EPTQ: Enhanced Post-Training Quantization via Label-Free Hessian
Ofir Gordon
H. Habi
Arnon Netzer
MQ
286
1
0
20 Sep 2023
Make RepVGG Greater Again: A Quantization-aware Approach
Make RepVGG Greater Again: A Quantization-aware ApproachAAAI Conference on Artificial Intelligence (AAAI), 2022
Xiangxiang Chu
Liang Li
Bo Zhang
MQ
395
68
0
03 Dec 2022
Reducing Computational Complexity of Neural Networks in Optical Channel
  Equalization: From Concepts to Implementation
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to ImplementationJournal of Lightwave Technology (JLT), 2022
Pedro J. Freire
A. Napoli
D. A. Ron
B. Spinnler
M. Anderson
W. Schairer
T. Bex
N. Costa
S. Turitsyn
Jaroslaw E. Prilepsky
331
41
0
26 Aug 2022
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016
François Chollet
MDEBDLPINN
3.6K
17,171
0
07 Oct 2016
1
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