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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… Expand
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Related topics

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Active learning (machine learning)Classic monolingual word-sense disambiguationCo-trainingConcept learning
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Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
A Survey of Learning Causality with Data
This work considers the question of how convenient access to copious data impacts our ability to learn causal effects and… Expand
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Review
2019
Review
2019
Few-shot Learning: A Survey
The quest of `can machines think' and `can machines do what human do' are quests that drive the development of artificial… Expand
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Review
2018
Review
2018
A Survey on Deep Transfer Learning
As a new classification platform, deep learning has recently received increasing attention from researchers and has been… Expand
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Review
2018
Review
2018
Deep Learning on Graphs: A Survey
Deep learning has been shown to be successful in a number of domains, ranging from acoustics, images, to natural language… Expand
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Review
2017
Review
2017
Residual Gated Graph ConvNets
Graph-structured data such as social networks, functional brain networks, gene regulatory networks, communications networks have… Expand
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Highly Cited
2017
Highly Cited
2017
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… Expand
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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… Expand
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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… Expand
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Highly Cited
2006
Highly Cited
2006
Introduction to Semi-Supervised Learning
This chapter contains sections titled: Supervised, Unsupervised, and Semi-Supervised Learning, When Can Semi-Supervised Learning… Expand
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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… Expand
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