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Semi-Supervised Learning

2986 directly classified papers

Papers per year

Papers

Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities NIPS 2014
PAC-Bayesian Theory for Transductive Learning AISTATS 2014
Semi-Supervised Eigenvectors for Large-Scale Locally-Biased Learning JMLR 2014
Localized Complexities for Transductive Learning COLT 2014
A Multigraph Representation for Improved Unsupervised/Semi-supervised Learning of Human Actions CVPR 2014
Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch AISTATS 2014
Efficient Label Propagation ICML 2014
Semi-supervised Spectral Clustering for Image Set Classification CVPR 2014
Hierarchical Subquery Evaluation for Active Learning on a Graph CVPR 2014
Blind Image Quality Assessment using Semi-supervised Rectifier Networks CVPR 2014
Learning with Pseudo-Ensembles NIPS 2014
Learning with Fredholm Kernels NIPS 2014
A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014
Object Localization based on Structural SVM using Privileged Information NIPS 2014
Learning on graphs using Orthonormal Representation is Statistically Consistent NIPS 2014
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation CVPR 2014
Joint Inference of Multiple Label Types in Large Networks ICML 2014
Semi-supervised Relational Topic Model for Weakly Annotated Image Recognition in Social Media CVPR 2014
Semi-Supervised Coupled Dictionary Learning for Person Re-identification CVPR 2014
Analysis of Learning from Positive and Unlabeled Data NIPS 2014
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification NIPS 2014
(Almost) No Label No Cry NIPS 2014
Unbiased Generative Semi-Supervised Learning JMLR 2014
Online Motion Segmentation Using Dynamic Label Propagation ICCV 2013
Joint Harmonic Functions and Their Supervised Connections JMLR 2013