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Autoencoder

Known as: Autoassociator, Diabolo network, Auto-encoder 
An autoencoder, autoassociator or Diabolo network is an artificial neural network used for unsupervised learning of efficient codings.The aim of an… 
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Related topics

Related topics

32 relations
Activation functionArtificial neural networkBackpropagationConjugate gradient method

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Fixing Gaussian Mixture VAEs for Interpretable Text Generation
Variational auto-encoder (VAE) with Gaussian priors is effective in text generation. To improve the controllability and… 
2018
2018
Concept-Oriented Deep Learning
Concepts are the foundation of human deep learning, understanding, and knowledge integration and transfer. We propose concept… 
2018
2018
DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis
Deep generative modelling for robust human body analysis is an emerging problem with many interesting applications, since it… 
2018
2018
An Online Writer Identification System based on Beta-Elliptic Model and Fuzzy Elementary Perceptual Codes
Actually, the ability to identify the documents authors provides more chances for using these documents for various purposes. In… 
2017
2017
Information Potential Auto-Encoders
In this paper, we suggest a framework to make use of mutual information as a regularization criterion to train Auto-Encoders (AEs… 
2015
2015
Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging
We present a (TL) framework based on (SDA) for the recognition of immunogold particles. These particles are part of a high… 
2013
2013
Constructing Hierarchical Image-tags Bimodal Representations for Word Tags Alternative Choice
This paper describes our solution to the multi-modal learning challenge of ICML. This solution comprises constructing three-level… 
2007
2007
Condition Monitoring of HV Bushings in the Presence of Missing Data Using Evolutionary Computing
The work proposes the application of neural networks with particle swarm optimisation (PSO) and genetic algorithms (GA) to… 
Review
1996
Review
1996
Principal Component and Neural Network Analyses of Face Images: Explorations into the Nature of Information Available for Classifying Faces by Sex
In this paper we present an overview of the major ndings of the principal component analysis (pca) approach to facial analysis… 
1990
1990
Learning internal representations of pattern sequences in a neural network with adaptive time-delays
  • U. Bodenhausen
  • IJCNN International Joint Conference on Neural…
  • 1990
  • Corpus ID: 2228811
The Tempo-Network is an artificial neural network with both adaptive weights and adaptive time delays. U Bodenhausen (see ibid…