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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

26 August 2022
Pedro J. Freire
A. Napoli
D. A. Ron
B. Spinnler
M. Anderson
W. Schairer
T. Bex
N. Costa
S. Turitsyn
Jaroslaw E. Prilepsky
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Papers citing "Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation"

10 / 10 papers shown
Title
Implementing Neural Network-Based Equalizers in a Coherent Optical
  Transmission System Using Field-Programmable Gate Arrays
Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays
Pedro J. Freire
S. Srivallapanondh
M. Anderson
B. Spinnler
T. Bex
...
W. Schairer
N. Costa
Michaela Blott
S. Turitsyn
Jaroslaw E. Prilepsky
14
10
0
09 Dec 2022
Training Deep Neural Networks with Joint Quantization and Pruning of
  Weights and Activations
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations
Xinyu Zhang
Ian Colbert
Ken Kreutz-Delgado
Srinjoy Das
MQ
24
11
0
15 Oct 2021
Towards Efficient Post-training Quantization of Pre-trained Language
  Models
Towards Efficient Post-training Quantization of Pre-trained Language Models
Haoli Bai
Lu Hou
Lifeng Shang
Xin Jiang
Irwin King
M. Lyu
MQ
41
47
0
30 Sep 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
121
665
0
24 Jan 2021
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
45
75
0
24 Oct 2020
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
172
1,018
0
06 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
214
354
0
05 Mar 2020
Fast inference of deep neural networks in FPGAs for particle physics
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
67
385
0
16 Apr 2018
Nonlinear Interference Mitigation via Deep Neural Networks
Nonlinear Interference Mitigation via Deep Neural Networks
Christian Hager
H. Pfister
14
137
0
17 Oct 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
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
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