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2206.03291
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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
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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
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
Ang Li
Simon Su
MQ
69
35
0
30 Jun 2020
Evolving Normalization-Activation Layers
Hanxiao Liu
Andrew Brock
Karen Simonyan
Quoc V. Le
117
81
0
06 Apr 2020
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
Zechun Liu
Zhiqiang Shen
Marios Savvides
Kwang-Ting Cheng
MQ
185
354
0
07 Mar 2020
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
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
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
K. Helwegen
James Widdicombe
Lukas Geiger
Zechun Liu
K. Cheng
Roeland Nusselder
MQ
54
114
0
05 Jun 2019
Self-Binarizing Networks
Fayez Lahoud
R. Achanta
Pablo Márquez-Neila
Sabine Süsstrunk
MQ
51
23
0
02 Feb 2019
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
Yinglan Ma
Hongyu Xiong
Zhe Hu
Lizhuang Ma
MQ
SupR
48
73
0
16 Dec 2018
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
Zechun Liu
Baoyuan Wu
Wenhan Luo
Xin Yang
Wen Liu
K. Cheng
MQ
89
557
0
01 Aug 2018
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
T. Elsken
J. H. Metzen
Frank Hutter
223
503
0
24 Apr 2018
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
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
185
3,039
0
05 Feb 2018
Towards Accurate Binary Convolutional Neural Network
Xiaofan Lin
Cong Zhao
Wei Pan
MQ
94
649
0
30 Nov 2017
Attacking Binarized Neural Networks
A. Galloway
Graham W. Taylor
M. Moussa
MQ
AAML
67
105
0
01 Nov 2017
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
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
Bowen Baker
O. Gupta
Nikhil Naik
Ramesh Raskar
137
1,472
0
07 Nov 2016
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
Barret Zoph
Quoc V. Le
487
5,385
0
05 Nov 2016
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
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
Sergey Ioffe
Christian Szegedy
OOD
469
43,357
0
11 Feb 2015
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
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
Yoshua Bengio
Nicholas Léonard
Aaron Courville
398
3,158
0
15 Aug 2013
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