Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 236,289,356 papers from all fields of science
Search
Sign In
Create Free Account
Autoencoder
Known as:
Autoassociator
, Diabolo network
, Auto-encoder
Expand
An autoencoder, autoassociator or Diabolo network is an artificial neural network used for unsupervised learning of efficient codings.The aim of an…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
32 relations
Activation function
Artificial neural network
Backpropagation
Conjugate gradient method
Expand
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…
Expand
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…
Expand
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…
Expand
2018
2018
Concept-Oriented Deep Learning
Daniel T. Chang
arXiv.org
2018
Corpus ID: 46939926
Concepts are the foundation of human deep learning, understanding, and knowledge integration and transfer. We propose concept…
Expand
2017
2017
A Semi-Supervised Predictive Sparse Decomposition Based on Task-Driven Dictionary Learning
Le Lv
,
Dongbin Zhao
,
Qingqiong Deng
Cognitive Computation
2017
Corpus ID: 5877546
In feature learning field, many methods are inspired by advances in neuroscience. Among them, neural network and sparse coding…
Expand
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…
Expand
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…
Expand
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…
Expand
2007
2007
Condition Monitoring of HV Bushings in the Presence of Missing Data Using Evolutionary Computing
S. 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…
Expand
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…
Expand