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Neuroevolution in Deep Neural Networks: Current Trends and Future
  Challenges

Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges

9 June 2020
E. Galván
P. Mooney
ArXivPDFHTML

Papers citing "Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges"

19 / 19 papers shown
Title
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization
Hongshu Guo
Wenjie Qiu
Zeyuan Ma
Xuzhi Zhang
Jun Zhang
Jiawei Liu
49
1
0
24 Apr 2025
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks
Amanda Bertschinger
James P. Bagrow
Joshua Bongard
90
1
0
24 Feb 2025
Genetic AI: Evolutionary Games for ab initio dynamic Multi-Objective Optimization
Genetic AI: Evolutionary Games for ab initio dynamic Multi-Objective Optimization
Philipp Wissgott
40
0
0
31 Jan 2025
NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural
  Networks
NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks
Fergal Stapleton
Edgar Galván López
48
2
0
12 Apr 2024
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate
  Anomaly Detection
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
30
3
0
25 May 2023
Neural Architecture Search Using Genetic Algorithm for Facial Expression
  Recognition
Neural Architecture Search Using Genetic Algorithm for Facial Expression Recognition
Shu-Jin Deng
Yizhou Sun
E. Galván
28
8
0
12 Apr 2023
Neuroevolutionary algorithms driven by neuron coverage metrics for
  semi-supervised classification
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification
Roberto Santana
Ivan Hidalgo-Cenalmor
Unai Garciarena
A. Mendiburu
Jose A. Lozano
27
2
0
05 Mar 2023
Towards Understanding the Effects of Evolving the MCTS UCT Selection
  Policy
Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy
Fred Valdez Ameneyro
E. López
18
2
0
07 Feb 2023
Surrogate-assisted Multi-objective Neural Architecture Search for
  Real-time Semantic Segmentation
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation
Zhichao Lu
Ran Cheng
Shihua Huang
Haotong Zhang
Changxiao Qiu
Fan Yang
SSeg
22
22
0
14 Aug 2022
FEATHERS: Federated Architecture and Hyperparameter Search
FEATHERS: Federated Architecture and Hyperparameter Search
Jonas Seng
P. Prasad
Martin Mundt
Devendra Singh Dhami
Kristian Kersting
FedML
52
3
0
24 Jun 2022
Evolving Neural Networks with Optimal Balance between Information Flow
  and Connections Cost
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost
A. Khalili
A. Bouchachia
14
0
0
12 Feb 2022
On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means
  of Evolutionary Algorithms in the Game of Carcassonne
On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne
E. López
G. Simpson
24
6
0
17 Dec 2021
Consistent Relative Confidence and Label-Free Model Selection for
  Convolutional Neural Networks
Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks
B. Liu
OOD
21
3
0
26 Aug 2021
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting
  Topologies for Side-channel Analysis
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting Topologies for Side-channel Analysis
R. Acharya
F. Ganji
Domenic Forte
AAML
38
24
0
30 Apr 2021
Neuroevolution in Deep Learning: The Role of Neutrality
Neuroevolution in Deep Learning: The Role of Neutrality
E. López
16
4
0
16 Feb 2021
Playing Carcassonne with Monte Carlo Tree Search
Playing Carcassonne with Monte Carlo Tree Search
Fred Valdez Ameneyro
E. López
Ángel Fernando Kuri Morales
22
4
0
27 Sep 2020
Semantic-based Distance Approaches in Multi-objective Genetic
  Programming
Semantic-based Distance Approaches in Multi-objective Genetic Programming
E. López
Fergal Stapleton
13
10
0
25 Sep 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
Convolution by Evolution: Differentiable Pattern Producing Networks
Convolution by Evolution: Differentiable Pattern Producing Networks
Chrisantha Fernando
Dylan Banarse
Malcolm Reynolds
F. Besse
David Pfau
Max Jaderberg
Marc Lanctot
Daan Wierstra
191
102
0
08 Jun 2016
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