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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

Related topics

42 relations
Active learning (machine learning)Classic monolingual word-sense disambiguationCo-trainingConcept learning

Broader (1)

Machine learning

Papers overview

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Highly Cited
2016
Highly Cited
2016
Semi-Supervised Classification with Graph Convolutional Networks
We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of… 
Highly Cited
2014
Highly Cited
2014
Semi-supervised Learning with Deep Generative Models
The ever-increasing size of modern data sets combined with the difficulty of obtaining label information has made semi-supervised… 
Highly Cited
2013
Highly Cited
2013
Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
We propose the simple and efficient method of semi-supervised learning for deep neural networks. Basically, the proposed network… 
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… 
Highly Cited
2010
Highly Cited
2010
Word Representations: A Simple and General Method for Semi-Supervised Learning
If we take an existing supervised NLP system, a simple and general way to improve accuracy is to use unsupervised word… 
Highly Cited
2009
Highly Cited
2009
Introduction to Semi-Supervised Learning
Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans… 
Highly Cited
2008
Highly Cited
2008
Deep learning via semi-supervised embedding
We show how nonlinear embedding algorithms popular for use with shallow semi-supervised learning techniques such as kernel… 
Review
2006
Review
2006
Semi-Supervised Learning
In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in… 
Highly Cited
2004
Highly Cited
2004
Semi-supervised Learning by Entropy Minimization
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this… 
Highly Cited
2003
Highly Cited
2003
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
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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