4.7 Article

Evolving Deep Convolutional Variational Autoencoders for Image Classification

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification

Zhichao Lu et al.

Summary: This study proposes an evolutionary algorithm for searching neural architectures, which fills a set of architectures through genetic operations to approximate the entire Pareto frontier, improves computational efficiency, and reinforces shared patterns among past successful architectures through Bayesian model learning. The method achieves competitive performance in image classification tasks, while considering multiple objectives.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)

Article Computer Science, Artificial Intelligence

Evolving Deep Convolutional Neural Networks for Image Classification

Yanan Sun et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

Completely Automated CNN Architecture Design Based on Blocks

Yanan Sun et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)

Article Automation & Control Systems

Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification

Yanan Sun et al.

IEEE TRANSACTIONS ON CYBERNETICS (2020)

Article Computer Science, Artificial Intelligence

Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations

Yanan Sun et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Article Computer Science, Artificial Intelligence

A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification

Yanan Sun et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm

Zhichao Lu et al.

PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'19) (2019)

Proceedings Paper Computer Science, Artificial Intelligence

An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders

Yanan Sun et al.

2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Automatic Evolution of AutoEncoders for Compressed Representations

Filipe Assuncao et al.

2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2018)

Article Computer Science, Information Systems

Evolving Image Classification Architectures With Enhanced Particle Swarm Optimisation

Ben Fielding et al.

IEEE ACCESS (2018)

Proceedings Paper Acoustics

Modeling and Transforming Speech using Variational Autoencoders

Merlijn Blaauw et al.

17TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2016), VOLS 1-5: UNDERSTANDING SPEECH PROCESSING IN HUMANS AND MACHINES (2016)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Article Computer Science, Artificial Intelligence

Evolving neural networks through augmenting topologies

KO Stanley et al.

EVOLUTIONARY COMPUTATION (2002)

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)