Semi-Supervised Learning

Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011 Deep Sparse Rectifier Neural Networks AISTATS 2011 Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning AISTATS 2011 Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NeurIPS 2011 Laplacian Support Vector Machines Trained in the Primal JMLR 2011 Learning from positive and unlabeled examples by enforcing statistical significance AISTATS 2011 Multiple Instance Filtering NeurIPS 2011 Semi-supervised Learning by Higher Order Regularization AISTATS 2011 Semi-Supervised Learning with Measure Propagation JMLR 2011 Semi-supervised Regression via Parallel Field Regularization NeurIPS 2011 The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers NeurIPS 2011 The Manifold Tangent Classifier NeurIPS 2011 Tracking-Based Semi-Supervised Learning RSS 2011 Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011 Active Learning by Querying Informative and Representative Examples NeurIPS 2010 Co-regularization Based Semi-supervised Domain Adaptation NeurIPS 2010 Discriminative Clustering by Regularized Information Maximization NeurIPS 2010 Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach NeurIPS 2010 Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data JMLR 2010 Humans Learn Using Manifolds, Reluctantly NeurIPS 2010 Inductive Regularized Learning of Kernel Functions NeurIPS 2010 Learning from Candidate Labeling Sets NeurIPS 2010 Learning from Logged Implicit Exploration Data NeurIPS 2010 Mining Recurring Concept Drifts with Limited Labeled Streaming Data ACML 2010 Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction AISTATS 2010