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Genetic Algorithms for Evolving Deep Neural Networks

Genetic Algorithms for Evolving Deep Neural Networks

21 November 2017
E. David
Iddo Greental
ArXiv (abs)PDFHTML

Papers citing "Genetic Algorithms for Evolving Deep Neural Networks"

19 / 19 papers shown
Title
Evolutionary algorithms meet self-supervised learning: a comprehensive survey
Evolutionary algorithms meet self-supervised learning: a comprehensive survey
Adriano Vinhas
João Correia
Penousal Machado
SSLSyDa
125
0
0
09 Apr 2025
Deep Learning Based Superconductivity: Prediction and Experimental Tests
Deep Learning Based Superconductivity: Prediction and Experimental Tests
Daniel Kaplan
Adam Zhang
Joanna Blawat
Rongying Jin
R. J. Cava
Viktor Oudovenko
Gabriel Kotliar
Anirvan M. Sengupta
Weiwei Xie
AI4CE
80
1
0
17 Dec 2024
Towards evolution of Deep Neural Networks through contrastive
  Self-Supervised learning
Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
Adriano Vinhas
João Correia
Penousal Machado
SSL
81
1
0
20 Jun 2024
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in
  Multi-Label Image Classification with Partial Labels
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels
Chak Fong Chong
Xinyi Fang
Jielong Guo
Yapeng Wang
Wei Ke
C. Lam
Sio-Kei Im
84
1
0
30 Jan 2024
A new Sparse Auto-encoder based Framework using Grey Wolf Optimizer for
  Data Classification Problem
A new Sparse Auto-encoder based Framework using Grey Wolf Optimizer for Data Classification Problem
Ahmad Mozaffer Karim
20
2
0
29 Jan 2022
Adaptability of Improved NEAT in Variable Environments
Adaptability of Improved NEAT in Variable Environments
Crewe Bailey
16
0
0
22 Oct 2021
Neuroevolution in Deep Learning: The Role of Neutrality
Neuroevolution in Deep Learning: The Role of Neutrality
E. López
39
4
0
16 Feb 2021
Training Stacked Denoising Autoencoders for Representation Learning
Training Stacked Denoising Autoencoders for Representation Learning
J. Liang
Keith Kelly
BDL
23
2
0
16 Feb 2021
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical
  Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and
  Challenges
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
Aritz D. Martinez
Javier Del Ser
Esther Villar-Rodriguez
E. Osaba
Javier Poyatos
Siham Tabik
Daniel Molina
Francisco Herrera
134
28
0
09 Aug 2020
Neuroevolution in Deep Neural Networks: Current Trends and Future
  Challenges
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
E. Galván
P. Mooney
111
136
0
09 Jun 2020
GACNN: Training Deep Convolutional Neural Networks with Genetic
  Algorithm
GACNN: Training Deep Convolutional Neural Networks with Genetic Algorithm
P. Esfahanian
M. Akhavan
43
19
0
29 Sep 2019
Automatic Design of Artificial Neural Networks for Gamma-Ray Detection
Automatic Design of Artificial Neural Networks for Gamma-Ray Detection
Filipe Assunção
João Correia
R. Conceição
M. Pimenta
B. Tomé
Nuno Lourenço
Penousal Machado
72
18
0
09 May 2019
Gradient Descent based Optimization Algorithms for Deep Learning Models
  Training
Gradient Descent based Optimization Algorithms for Deep Learning Models Training
Jiawei Zhang
27
54
0
11 Mar 2019
A Visual Quality Index for Fuzzy C-Means
A Visual Quality Index for Fuzzy C-Means
Aybüke Öztürk
S. Lallich
Jérôme Darmont
21
5
0
05 Jun 2018
GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization
GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization
Jiawei Zhang
Fisher B. Gouza
ODL
44
23
0
19 May 2018
Texture Classification in Extreme Scale Variations using GANet
Texture Classification in Extreme Scale Variations using GANet
Li Liu
Jie Chen
Guoying Zhao
Paul Fieguth
Xilin Chen
M. Pietikäinen
29
22
0
13 Feb 2018
Towards co-evolution of fitness predictors and Deep Neural Networks
Towards co-evolution of fitness predictors and Deep Neural Networks
W. Funika
Paweł Koperek
21
1
0
30 Dec 2017
Towards the Evolution of Multi-Layered Neural Networks: A Dynamic
  Structured Grammatical Evolution Approach
Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach
Filipe Assunção
Nuno Lourenço
Penousal Machado
B. Ribeiro
43
20
0
26 Jun 2017
Negatively Correlated Search
Negatively Correlated Search
K. Tang
Peng Yang
Xin Yao
60
75
0
20 Apr 2015
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