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Semi-Supervised Learning

714 directly classified papers

Papers per year

Papers

Multi-step learning and underlying structure in statistical models NIPS 2016
Subspace Learning with Partial Information JMLR 2016
Investigation of Semi-Supervised Acoustic Model Training Based on the Committee of Heterogeneous Neural Networks INTERSPEECH 2016
SemiContour: A Semi-Supervised Learning Approach for Contour Detection CVPR 2016
Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering INTERSPEECH 2016
Minimum Density Hyperplanes JMLR 2016
Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training COLING 2016
Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer CVPR 2016
Active Image Segmentation Propagation CVPR 2016
Active Sample Selection and Correction Propagation on a Gradually-Augmented Graph CVPR 2015
Local High-Order Regularization on Data Manifolds CVPR 2015
Semi-Supervised Learning With Explicit Relationship Regularization CVPR 2015
Semi-Supervised Normalized Cuts for Image Segmentation ICCV 2015
Adaptively Unified Semi-Supervised Dictionary Learning With Active Points ICCV 2015
Semi-Supervised Interpolation in an Anticausal Learning Scenario JMLR 2015
Semi-supervised Sequence Learning NIPS 2015
Optimally Combining Classifiers Using Unlabeled Data COLT 2015
Large-Scale Damage Detection Using Satellite Imagery CVPR 2015
Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification CVPR 2015
Semi-Supervised Domain Adaptation With Subspace Learning for Visual Recognition CVPR 2015
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically ICML 2014
Transductive Learning with Multi-class Volume Approximation ICML 2014
Semi-supervised Learning with Deep Generative Models NIPS 2014
Learning with Pseudo-Ensembles NIPS 2014
Localized Complexities for Transductive Learning COLT 2014