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

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

9 March 2022
Dominika Przewlocka-Rus
Syed Shakib Sarwar
H. Sumbul
Yuecheng Li
B. D. Salvo
    MQ
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Papers citing "Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks"

12 / 12 papers shown
Title
A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications
A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications
Lucas Rey
Ana M. Bernardos
Andrzej D. Dobrzycki
David Carramiñana
Luca Bergesio
Juan A. Besada
José Ramón Casar
49
3
0
06 Feb 2025
Accelerating PoT Quantization on Edge Devices
Accelerating PoT Quantization on Edge Devices
Rappy Saha
Jude Haris
José Cano
MQ
21
0
0
30 Sep 2024
PowerYOLO: Mixed Precision Model for Hardware Efficient Object Detection
  with Event Data
PowerYOLO: Mixed Precision Model for Hardware Efficient Object Detection with Event Data
Dominika Przewlocka-Rus
T. Kryjak
M. Gorgon
29
0
0
11 Jul 2024
Custom Gradient Estimators are Straight-Through Estimators in Disguise
Custom Gradient Estimators are Straight-Through Estimators in Disguise
Matt Schoenbauer
Daniele Moro
Lukasz Lew
Andrew G. Howard
MQ
25
3
0
08 May 2024
Super Efficient Neural Network for Compression Artifacts Reduction and
  Super Resolution
Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution
Wen Ma
Qiuwen Lou
Arman Kazemi
Julian Faraone
Tariq Afzal
SupR
36
0
0
26 Jan 2024
Memory-Efficient Fine-Tuning for Quantized Diffusion Model
Memory-Efficient Fine-Tuning for Quantized Diffusion Model
Hyogon Ryu
Seohyun Lim
Hyunjung Shim
DiffM
MQ
27
6
0
09 Jan 2024
A Practical Mixed Precision Algorithm for Post-Training Quantization
A Practical Mixed Precision Algorithm for Post-Training Quantization
N. Pandey
Markus Nagel
M. V. Baalen
Yin-Ruey Huang
Chirag I. Patel
Tijmen Blankevoort
MQ
14
18
0
10 Feb 2023
Energy Efficient Hardware Acceleration of Neural Networks with
  Power-of-Two Quantisation
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation
Dominika Przewlocka-Rus
T. Kryjak
MQ
13
5
0
30 Sep 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 Implementation
Pedro J. Freire
A. Napoli
D. A. Ron
B. Spinnler
M. Anderson
W. Schairer
T. Bex
N. Costa
S. Turitsyn
Jaroslaw E. Prilepsky
27
28
0
26 Aug 2022
DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two
  Quantization
DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization
Xinlin Li
Bangya Liu
Ruizhi Yang
Vanessa Courville
Chao Xing
V. Nia
MQ
34
2
0
20 Aug 2022
Computational Complexity Evaluation of Neural Network Applications in
  Signal Processing
Computational Complexity Evaluation of Neural Network Applications in Signal Processing
Pedro J. Freire
S. Srivallapanondh
A. Napoli
Jaroslaw E. Prilepsky
S. Turitsyn
37
1
0
24 Jun 2022
ShiftAddNet: A Hardware-Inspired Deep Network
ShiftAddNet: A Hardware-Inspired Deep Network
Haoran You
Xiaohan Chen
Yongan Zhang
Chaojian Li
Sicheng Li
Zihao Liu
Zhangyang Wang
Yingyan Lin
OOD
MQ
76
76
0
24 Oct 2020
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