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Energy Efficient Hadamard Neural Networks

Energy Efficient Hadamard Neural Networks

14 May 2018
T. C. Deveci
Serdar Çakır
A. Enis Cetin
ArXiv (abs)PDFHTML

Papers citing "Energy Efficient Hadamard Neural Networks"

10 / 10 papers shown
Title
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for
  the Convolutional Layer
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
Hongyi Pan
Xin Zhu
S. Atici
Ahmet Enis Cetin
47
17
0
27 May 2023
Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient
  ResNets
Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets
Hongyi Pan
Emadeldeen Hamdan
Xin Zhu
S. Atici
Ahmet Enis Cetin
OOD
62
6
0
13 Mar 2023
Multipod Convolutional Network
Multipod Convolutional Network
Hongyi Pan
S. Atici
Ahmet Enis Cetin
24
2
0
03 Oct 2022
Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method
Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method
Varun Mannam
26
0
0
06 Sep 2022
Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural
  Networks
Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural Networks
Hongyi Pan
Diaa Badawi
Ahmet Enis Cetin
74
19
0
07 Jan 2022
Source Feature Compression for Object Classification in Vision-Based
  Underwater Robotics
Source Feature Compression for Object Classification in Vision-Based Underwater Robotics
Xueyuan Zhao
M. Rahmati
D. Pompili
27
0
0
28 Dec 2021
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary
  Layers in Deep Neural Networks
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks
Hongyi Pan
Diaa Badawi
Ahmet Enis Cetin
91
21
0
14 Apr 2021
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
C. Suarez-Ramirez
M. González-Mendoza
Leonardo Chang-Fernández
Gilberto Ochoa-Ruiz
M. Duran-Vega
MQ
48
8
0
11 Apr 2021
Sublinear Update Time Randomized Algorithms for Dynamic Graph Regression
Sublinear Update Time Randomized Algorithms for Dynamic Graph Regression
M. H. Chehreghani
34
1
0
28 May 2019
Building Efficient Deep Neural Networks with Unitary Group Convolutions
Building Efficient Deep Neural Networks with Unitary Group Convolutions
Ritchie Zhao
Yuwei Hu
Jordan Dotzel
Christopher De Sa
Zhiru Zhang
77
28
0
19 Nov 2018
1