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GAAF: Searching Activation Functions for Binary Neural Networks through
  Genetic Algorithm

GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm

5 June 2022
Yanfei Li
Tong Geng
S. Stein
Ang Li
Hui-Ling Yu
    MQ
ArXiv (abs)PDFHTMLGithub (1★)

Papers citing "GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm"

32 / 32 papers shown
Title
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and
  Positioning Predictor on Edge Devices
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices
Nael Fasfous
M. Vemparala
Alexander Frickenstein
Lukas Frickenstein
W. Stechele
CVBM
82
34
0
06 Feb 2021
Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing
  GPUs
Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs
Ang Li
Simon Su
MQ
69
35
0
30 Jun 2020
Evolving Normalization-Activation Layers
Evolving Normalization-Activation Layers
Hanxiao Liu
Andrew Brock
Karen Simonyan
Quoc V. Le
117
81
0
06 Apr 2020
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
134
471
0
31 Mar 2020
ReActNet: Towards Precise Binary Neural Network with Generalized
  Activation Functions
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
Zechun Liu
Zhiqiang Shen
Marios Savvides
Kwang-Ting Cheng
MQ
185
354
0
07 Mar 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
280
1,054
0
06 Mar 2020
Circulant Binary Convolutional Networks: Enhancing the Performance of
  1-bit DCNNs with Circulant Back Propagation
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation
Chunlei Liu
Wenrui Ding
Xin Xia
Baochang Zhang
Jiaxin Gu
Jianzhuang Liu
Rongrong Ji
David Doermann
MQ
93
75
0
24 Oct 2019
Forward and Backward Information Retention for Accurate Binary Neural
  Networks
Forward and Backward Information Retention for Accurate Binary Neural Networks
Haotong Qin
Ruihao Gong
Xianglong Liu
Mingzhu Shen
Ziran Wei
F. Yu
Jingkuan Song
MQ
194
332
0
24 Sep 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network
  Optimization
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
K. Helwegen
James Widdicombe
Lukas Geiger
Zechun Liu
K. Cheng
Roeland Nusselder
MQ
54
114
0
05 Jun 2019
Self-Binarizing Networks
Self-Binarizing Networks
Fayez Lahoud
R. Achanta
Pablo Márquez-Neila
Sabine Süsstrunk
MQ
51
23
0
02 Feb 2019
SNAS: Stochastic Neural Architecture Search
SNAS: Stochastic Neural Architecture Search
Sirui Xie
Hehui Zheng
Chunxiao Liu
Liang Lin
91
940
0
24 Dec 2018
Efficient Super Resolution Using Binarized Neural Network
Efficient Super Resolution Using Binarized Neural Network
Yinglan Ma
Hongyu Xiong
Zhe Hu
Lizhuang Ma
MQSupR
48
73
0
16 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
107
1,877
0
02 Dec 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved
  Representational Capability and Advanced Training Algorithm
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Zechun Liu
Baoyuan Wu
Wenhan Luo
Xin Yang
Wen Liu
K. Cheng
MQ
89
557
0
01 Aug 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
206
4,375
0
24 Jun 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
223
503
0
24 Apr 2018
Neural Architecture Search with Bayesian Optimisation and Optimal
  Transport
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Kirthevasan Kandasamy
Willie Neiswanger
J. Schneider
Barnabás Póczós
Eric Xing
108
609
0
11 Feb 2018
Regularized Evolution for Image Classifier Architecture Search
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
185
3,039
0
05 Feb 2018
Towards Accurate Binary Convolutional Neural Network
Towards Accurate Binary Convolutional Neural Network
Xiaofan Lin
Cong Zhao
Wei Pan
MQ
94
649
0
30 Nov 2017
Attacking Binarized Neural Networks
Attacking Binarized Neural Networks
A. Galloway
Graham W. Taylor
M. Moussa
MQAAML
67
105
0
01 Nov 2017
The High-Dimensional Geometry of Binary Neural Networks
The High-Dimensional Geometry of Binary Neural Networks
Alexander G. Anderson
C. P. Berg
MQ
81
76
0
19 May 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
145
1,642
0
03 Mar 2017
Designing Neural Network Architectures using Reinforcement Learning
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker
O. Gupta
Nikhil Naik
Ramesh Raskar
137
1,472
0
07 Nov 2016
Loss-aware Binarization of Deep Networks
Loss-aware Binarization of Deep Networks
Lu Hou
Quanming Yao
James T. Kwok
MQ
81
220
0
05 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
487
5,385
0
05 Nov 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low
  Bitwidth Gradients
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
Shuchang Zhou
Yuxin Wu
Zekun Ni
Xinyu Zhou
He Wen
Yuheng Zou
MQ
135
2,090
0
20 Jun 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
211
1,348
0
08 Feb 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
263
8,864
0
01 Oct 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
469
43,357
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Raiders of the Lost Architecture: Kernels for Bayesian Optimization in
  Conditional Parameter Spaces
Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces
Kevin Swersky
David Duvenaud
Jasper Snoek
Frank Hutter
Michael A. Osborne
BDL
166
79
0
14 Sep 2014
Estimating or Propagating Gradients Through Stochastic Neurons for
  Conditional Computation
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
398
3,158
0
15 Aug 2013
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