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semi-supervised learning

2331 papers

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Also known as

UDA FSSL SS SSGL SSL SEMISL SSSS SSOD SEMI-SL S3VM SSCL

Co-occurring keywords

text classification (6776) domain adaptation (4578) representation learning (6174) data augmentation (3037) semantic segmentation (3179) contrastive learning (3979) pseudo labeling (312) graph neural network (3945) transfer learning (5442) label propagation (185)

Papers

Unlabeled data: Now it helps, now it doesn't NIPS 2008
Regularization on Graphs with Function-adapted Diffusion Processes JMLR 2008
Efficient Convex Relaxation for Transductive Support Vector Machine NIPS 2007
The Value of Labeled and Unlabeled Examples when the Model is Imperfect NIPS 2007
Scene Segmentation with CRFs Learned from Partially Labeled Images NIPS 2007
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning JMLR 2007
A Bayesian LDA-based model for semi-supervised part-of-speech tagging NIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Statistical Analysis of Semi-Supervised Regression NIPS 2007
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NIPS 2007
Bayesian Co-Training NIPS 2007
Semi-Supervised Multitask Learning NIPS 2007
Colored Maximum Variance Unfolding NIPS 2007
Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption JMLR 2007
Large Margin Semi-supervised Learning JMLR 2007
Regularized Boost for Semi-Supervised Learning NIPS 2007
Graph Laplacians and their Convergence on Random Neighborhood Graphs JMLR 2007
Relational Learning with Gaussian Processes NIPS 2006
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms NIPS 2006
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NIPS 2006
Branch and Bound for Semi-Supervised Support Vector Machines NIPS 2006
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems JMLR 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
Manifold Denoising NIPS 2006
Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006