Who Cited It

Introduction to Semi-Supervised Learning

2009 · Synthesis lectures on artificial intelligence and machine learning · 1,812 citations · 6 from inside this corpus

Xiaojin Zhu, Andrew B. Goldberg low

No abstract in the source record.

Introduction to Semi-Supervised Learning (2009)Introduction to Semi-Supervis…Statistical Learning Theory (1999)Statistical Learning TheoryArtificial intelligence: a modern approach (1995)Artificial intelligence: a mo…Information theory, inference, and learning algorithms (2004)Information theory, inference…Combining labeled and unlabeled data with co-training (1998)Combining labeled and unlabel…Semi-Supervised Learning (2006)Semi-Supervised LearningMaking Large-Scale SVM Learning Practical (2006)Making Large-Scale SVM Learni…Semi-Supervised Learning Literature Survey (2005)Semi-Supervised Learning Lite…Learning with Local and Global Consistency (2003)Learning with Local and Globa…A sentimental education (2004)A sentimental educationManifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex… (2006)Manifold Regularization: A Ge…A comparison of event models for naive bayes text classification (1998)A comparison of event models …Text Classification from Labeled and Unlabeled Documents using EM (2000)Text Classification from Labe…Transductive Inference for Text Classification using Support Vector Machines (1999)Transductive Inference for Te…Learning with Kernels (2001)Learning with KernelsUnsupervised word sense disambiguation rivaling supervised methods (1995)Unsupervised word sense disam…Attention, similarity, and the identification-categorization relationship. (1986)Attention, similarity, and th…SWITCHBOARD: telephone speech corpus for research and development (1992)SWITCHBOARD: telephone speech…Rademacher and Gaussian Complexities: Risk Bounds and Structural Results (2001)Rademacher and Gaussian Compl…Large Margin Methods for Structured and Interdependent Output Variables (2005)Large Margin Methods for Stru…A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data (2005)A Framework for Learning Pred…Bootstrap your own latent: A new approach to self-supervised Learning (2020)Bootstrap your own latent: A …Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning (2018)Deeper Insights Into Graph Co…A survey on semi-supervised learning (2019)Learning from class-imbalanced data: Review of methods and applications (2016)Learning from class-imbalance…FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence (2020)FixMatch: Simplifying Semi-Su…SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann… (2018)SMOTE for Learning from Imbal…
26 of 26 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Statistical Learning Theory199926,957
Artificial intelligence: a modern approach199522,262
Information theory, inference, and learning algorithms20046,580
Combining labeled and unlabeled data with co-training19985,631
Semi-Supervised Learning20064,334
Making Large-Scale SVM Learning Practical20064,326
Semi-Supervised Learning Literature Survey20053,879
Learning with Local and Global Consistency20033,740
A sentimental education20043,353
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…20063,266
A comparison of event models for naive bayes text classification19983,225
Text Classification from Labeled and Unlabeled Documents using EM20002,753
Transductive Inference for Text Classification using Support Vector Machines19992,721
Learning with Kernels20012,541
Unsupervised word sense disambiguation rivaling supervised methods19952,436
Attention, similarity, and the identification-categorization relationship.19862,227
SWITCHBOARD: telephone speech corpus for research and development19922,149
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results20012,126
Large Margin Methods for Structured and Interdependent Output Variables20051,957
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data20051,370

What cites it, inside the corpus

PaperYearCited
Bootstrap your own latent: A new approach to self-supervised Learning20203,447
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning20182,652
A survey on semi-supervised learning20192,636
Learning from class-imbalanced data: Review of methods and applications20162,407
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence20202,271
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann…20182,226

Links

DOI · OpenAlex record

Topics

Machine Learning and AlgorithmsComputer Science
Machine Learning and Data ClassificationComputer Science
Anomaly Detection Techniques and ApplicationsComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports2 author record(s) attached.
  • supports196 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:53+00:00.

sha256 db1645b78a57e29a…