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Autoencoder
Known as:
Autoassociator
, Diabolo network
, Auto-encoder
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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 function
Artificial neural network
Backpropagation
Conjugate gradient method
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Fixing Gaussian Mixture VAEs for Interpretable Text Generation
Wenxian Shi
,
Hao Zhou
,
Ning Miao
,
Shenjian Zhao
,
Lei Li
arXiv.org
2019
Corpus ID: 189928477
Variational auto-encoder (VAE) with Gaussian priors is effective in text generation. To improve the controllability and…
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2019
2019
Boosting segmentation with weak supervision from image-to-image translation
Eugene Vorontsov
,
Pavlo Molchanov
,
+5 authors
Jan Kautz
arXiv.org
2019
Corpus ID: 102354372
In many cases, especially with medical images, it is prohibitively challenging to produce a sufficiently large training sample of…
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2018
2018
An Online Writer Identification System based on Beta-Elliptic Model and Fuzzy Elementary Perceptual Codes
Thameur Dhieb
,
S. Njah
,
H. Boubaker
,
W. Ouarda
,
Mounir Ben Ayed
,
A. Alimi
arXiv.org
2018
Corpus ID: 4892524
Actually, the ability to identify the documents authors provides more chances for using these documents for various purposes. In…
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2018
2018
A Deep Learning Approach with an Attention Mechanism for Automatic Sleep Stage Classification
Martin Längkvist
,
A. Loutfi
arXiv.org
2018
Corpus ID: 44117809
Automatic sleep staging is a challenging problem and state-of-the-art algorithms have not yet reached satisfactory performance to…
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2017
2017
A Probabilistic Framework for Multi-Label Learning with Unseen Labels
Abhilash Gaure
,
Aishwarya Gupta
,
V. Verma
Conference on Uncertainty in Artificial…
2017
Corpus ID: 195347229
We present a probabilistic framework for multi-label learning for the setting when the test data may require predicting labels…
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2016
2016
RDI_Team at SemEval-2016 Task 3: RDI Unsupervised Framework for Text Ranking
Ahmed Magooda
,
Amr Gomaa
,
+5 authors
A. A. Sallab
International Workshop on Semantic Evaluation
2016
Corpus ID: 1078915
Ranking is an important task in the field of information retrieval. Ranking may be used in different modules in natural language…
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2013
2013
Constructing Hierarchical Image-tags Bimodal Representations for Word Tags Alternative Choice
Fangxiang Feng
,
Ruifan Li
,
Xiaojie Wang
arXiv.org
2013
Corpus ID: 5965009
This paper describes our solution to the multi-modal learning challenge of ICML. This solution comprises constructing three-level…
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2012
2012
Layer-wise learning of deep generative models
Ludovic Arnold
,
Y. Ollivier
2012
Corpus ID: 11870608
When using deep, multi-layered architectures to build generative models of data, it is difficult to train all layers at once. We…
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2007
2007
Condition Monitoring of HV Bushings in the Presence of Missing Data Using Evolutionary Computing
S. M. Dhlamini
,
F. Nelwamondo
,
T. Marwala
arXiv.org
2007
Corpus ID: 57269
The work proposes the application of neural networks with particle swarm optimisation (PSO) and genetic algorithms (GA) to…
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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…
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