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A Self-adaptive Neuroevolution Approach to Constructing Deep Neural
  Network Architectures Across Different Types

A Self-adaptive Neuroevolution Approach to Constructing Deep Neural Network Architectures Across Different Types

27 November 2022
Zhenhao Shuai
Hongbo Liu
Zhaolin Wan
Wei-jie Yu
Jinchao Zhang
ArXivPDFHTML

Papers citing "A Self-adaptive Neuroevolution Approach to Constructing Deep Neural Network Architectures Across Different Types"

22 / 22 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
On the performance of deep learning for numerical optimization: an
  application to protein structure prediction
On the performance of deep learning for numerical optimization: an application to protein structure prediction
H. Rakhshani
L. Idoumghar
Soheila Ghambari
Julien Lepagnot
Mathieu Brévilliers
50
9
0
17 Dec 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
496
42,449
0
03 Dec 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong
Shiyu Chang
Yi Ding
Zhangyang Wang
GAN
67
263
0
11 Aug 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Zichao Guo
Xiangyu Zhang
Haoyuan Mu
Wen Heng
Zechun Liu
Yichen Wei
Jian Sun
80
938
0
31 Mar 2019
A Survey of the Recent Architectures of Deep Convolutional Neural
  Networks
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
104
2,304
0
17 Jan 2019
Automatically designing CNN architectures using genetic algorithm for
  image classification
Automatically designing CNN architectures using genetic algorithm for image classification
Yizhou Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
3DV
69
610
0
11 Aug 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
110
2,764
0
09 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
160
3,031
0
05 Feb 2018
Hierarchical Representations for Efficient Architecture Search
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu
Karen Simonyan
Oriol Vinyals
Chrisantha Fernando
Koray Kavukcuoglu
3DV
87
928
0
01 Nov 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
177
5,603
0
21 Jul 2017
Genetic CNN
Genetic CNN
Lingxi Xie
Alan Yuille
3DV
124
845
0
04 Mar 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
125
1,641
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
115
1,471
0
07 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
462
5,373
0
05 Nov 2016
A guide to convolution arithmetic for deep learning
A guide to convolution arithmetic for deep learning
Vincent Dumoulin
Francesco Visin
FAtt
3DH
HAI
66
1,542
0
23 Mar 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
883
27,373
0
02 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
258
14,012
0
19 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
563
7,992
0
13 Jun 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
135
2,912
0
05 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,386
0
04 Sep 2014
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