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Semi-supervised learning
Known as:
SSL
, Semi supervised learning
, Semisupervised learning
Semi-supervised learning is a class of supervised learning tasks and techniques that also make use of unlabeled data for training – typically a small…
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Related topics
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42 relations
Active learning (machine learning)
Classic monolingual word-sense disambiguation
Co-training
Concept learning
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
,
M. Welling
International Conference on Learning…
2016
Corpus ID: 3144218
We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of…
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Highly Cited
2014
Highly Cited
2014
Semi-supervised Learning with Deep Generative Models
Diederik P. Kingma
,
S. Mohamed
,
Danilo Jimenez Rezende
,
M. Welling
NIPS
2014
Corpus ID: 6377199
The ever-increasing size of modern data sets combined with the difficulty of obtaining label information has made semi-supervised…
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Highly Cited
2013
Highly Cited
2013
Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
Dong-Hyun Lee
2013
Corpus ID: 18507866
We propose the simple and efficient method of semi-supervised learning for deep neural networks. Basically, the proposed network…
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Highly Cited
2010
Highly Cited
2010
Semi-Supervised Learning
Xiaojin Zhu
Encyclopedia of Machine Learning
2010
Corpus ID: 3869071
Semi-supervised learning uses both labeled and unlabeled data to perform an otherwise supervised learning or unsupervised…
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Highly Cited
2010
Highly Cited
2010
Word Representations: A Simple and General Method for Semi-Supervised Learning
Joseph P. Turian
,
Lev-Arie Ratinov
,
Yoshua Bengio
Annual Meeting of the Association for…
2010
Corpus ID: 629094
If we take an existing supervised NLP system, a simple and general way to improve accuracy is to use unsupervised word…
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Highly Cited
2009
Highly Cited
2009
Introduction to Semi-Supervised Learning
Xiaojin Zhu
,
A. Goldberg
Introduction to Semi-Supervised Learning
2009
Corpus ID: 40097546
Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans…
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Highly Cited
2008
Highly Cited
2008
Deep learning via semi-supervised embedding
J. Weston
,
F. Ratle
,
H. Mobahi
,
Ronan Collobert
International Conference on Machine Learning
2008
Corpus ID: 740114
We show how nonlinear embedding algorithms popular for use with shallow semi-supervised learning techniques such as kernel…
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Review
2006
Review
2006
Semi-Supervised Learning
O. Chapelle
,
Bernhard Schlkopf
,
A. Zien
2006
Corpus ID: 60860751
In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in…
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Highly Cited
2004
Highly Cited
2004
Semi-supervised Learning by Entropy Minimization
Yves Grandvalet
,
Yoshua Bengio
Conférence francophone sur l'apprentissage…
2004
Corpus ID: 7890982
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this…
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Highly Cited
2003
Highly Cited
2003
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
Xiaojin Zhu
,
Zoubin Ghahramani
,
J. Lafferty
International Conference on Machine Learning
2003
Corpus ID: 1052837
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data…
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