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Semi-Supervised Learning

3,075 papers

Papers per year

2
17
39
320
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Papers

Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NIPS 2011
Semi-supervised Regression via Parallel Field Regularization NIPS 2011
The Manifold Tangent Classifier NIPS 2011
Multiple Instance Filtering NIPS 2011
Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011
Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011
Learning from positive and unlabeled examples by enforcing statistical significance AISTATS 2011
Deep Sparse Rectifier Neural Networks AISTATS 2011
Semi-supervised Learning by Higher Order Regularization AISTATS 2011
Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning AISTATS 2011
Bayesian Co-Training JMLR 2011
Semi-Supervised Learning with Measure Propagation JMLR 2011
Tracking-Based Semi-Supervised Learning RSS 2011
Transduction with Matrix Completion: Three Birds with One Stone NIPS 2010
Discriminative Clustering by Regularized Information Maximization NIPS 2010
Co-regularization Based Semi-supervised Domain Adaptation NIPS 2010
Active Learning by Querying Informative and Representative Examples NIPS 2010
Semi-Supervised Learning with Adversarially Missing Label Information NIPS 2010
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach NIPS 2010
Humans Learn Using Manifolds, Reluctantly NIPS 2010
Learning from Logged Implicit Exploration Data NIPS 2010
Learning from Candidate Labeling Sets NIPS 2010
Inductive Regularized Learning of Kernel Functions NIPS 2010
Mining Recurring Concept Drifts with Limited Labeled Streaming Data ACML 2010
Semi-Supervised Learning via Generalized Maximum Entropy AISTATS 2010