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Semi-Supervised Learning

2986 directly classified papers

Papers per year

Papers

Learning from positive and unlabeled examples by enforcing statistical significance AISTATS 2011
Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning AISTATS 2011
Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011
Semi-Supervised Learning via Generalized Maximum Entropy AISTATS 2010
Semi-Supervised Novelty Detection JMLR 2010
Semi-Supervised Learning with Max-Margin Graph Cuts AISTATS 2010
Transduction with Matrix Completion: Three Birds with One Stone NIPS 2010
Sparse Semi-supervised Learning Using Conjugate Functions JMLR 2010
Discriminative Clustering by Regularized Information Maximization NIPS 2010
Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction AISTATS 2010
Co-regularization Based Semi-supervised Domain Adaptation NIPS 2010
Active Learning by Querying Informative and Representative Examples NIPS 2010
Humans Learn Using Manifolds, Reluctantly NIPS 2010
Mining Recurring Concept Drifts with Limited Labeled Streaming Data ACML 2010
Semi-Supervised Learning with Adversarially Missing Label Information 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
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data JMLR 2010
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering NIPS 2009
On Efficient Large Margin Semisupervised Learning: Method and Theory JMLR 2009
Multi-Label Prediction via Sparse Infinite CCA NIPS 2009
Semi-Supervised Training for the Averaged Perceptron POS Tagger EACL 2009
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity NIPS 2009
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction NIPS 2009