mlsanityData to 7 Oct 2026

Learning by Transduction

arXiv 1301.7375 ↗First posted 30 Jan 2013cs.LG stat.MLcited by 120

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Abstract (arXiv)

We describe a method for predicting a classification of an object given classifications of the objects in the training set, assuming that the pairs object/classification are generated by an i.i.d. process from a continuous probability distribution. Our method is a modification of Vapnik's support-vector machine; its main novelty is that it gives not only the prediction itself but also a practicable measure of the evidence found in support of that prediction. We also describe a procedure for assigning degrees of confidence to predictions made by the support vector machine. Some experimental results are presented, and possible extensions of the algorithms are discussed.

Key facts. Cited by 120 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Jan 2013.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 10; 2022: 20; 2023: 23; 2024: 16; 2025: 37; 2026: 14.

120 papers.

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  1. 2021A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantificationcited by 777
  2. 2024Learning to (Learn at Test Time): RNNs with Expressive Hidden Statescited by 329
  3. 2021In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learningcited by 301
  4. 2022Test-Time Training with Masked Autoencoderscited by 208
  5. 2023Conformal Prediction with Large Language Models for Multi-Choice Question Answeringcited by 131
  6. 2022Revisiting Weakly Supervised Pre-Training of Visual Perception Modelscited by 116
  7. 2023Test-Time Training on Nearest Neighbors for Large Language Modelscited by 82
  8. 2024Beyond Model Adaptation at Test Time: A Surveycited by 55
  9. 2021Copula-based conformal prediction for Multi-Target Regressioncited by 53
  10. 2022Conformal Prediction Under Feedback Covariate Shift for Biomolecular Designcited by 53
  11. 2021Conformal Uncertainty Sets for Robust Optimizationcited by 49
  12. 2022OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learningcited by 37
38 more
  1. 2023Test-Time Training on Video Streamscited by 37
  2. 2023Non-Exchangeable Conformal Risk Controlcited by 29
  3. 2021Valid prediction intervals for regression problemscited by 28
  4. 2022Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecastingcited by 27
  5. 2022Towards Realistic Semi-Supervised Learningcited by 27
  6. 2024Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatabilitycited by 22
  7. 2024MoDE: CLIP Data Experts via Clusteringcited by 22
  8. 2025Multivariate Conformal Prediction using Optimal Transportcited by 21
  9. 2023Learning to Extrapolate: A Transductive Approachcited by 19
  10. 2025Test3R: Learning to Reconstruct 3D at Test Timecited by 19
  11. 2022PAC Prediction Sets for Meta-Learningcited by 16
  12. 2022Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Studentscited by 16
  13. 2023TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognitioncited by 16
  14. 2021A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streamscited by 15
  15. 2022Epistemic Deep Learningcited by 15
  16. 2025Conformal Prediction for Zero-Shot Modelscited by 14
  17. 2021Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Typescited by 13
  18. 2023On the Expected Size of Conformal Prediction Setscited by 13
  19. 2024Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learningcited by 13
  20. 2023Neural Priming for Sample-Efficient Adaptationcited by 12
  21. 2023Learning to (Learn at Test Time)cited by 12
  22. 2023Guaranteed Coverage Prediction Intervals with Gaussian Process Regressioncited by 12
  23. 2024Split Conformal Prediction under Data Contaminationcited by 12
  24. 2023Reliable Prediction Intervals with Regression Neural Networkscited by 11
  25. 2023Evaluating Machine Translation Quality with Conformal Predictive Distributionscited by 9
  26. 2024Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimationcited by 9
  27. 2025Volume Optimality in Conformal Prediction with Structured Prediction Setscited by 9
  28. 2025Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecastingcited by 9
  29. 2025Full Conformal Adaptation of Medical Vision-Language Modelscited by 9
  30. 2025AI Agents as Universal Task Solverscited by 9
  31. 2021Root-finding Approaches for Computing Conformal Prediction Setcited by 8
  32. 2023SymmPI: Predictive Inference for Data with Group Symmetriescited by 8
  33. 2025Language Models Can Predict Their Own Behaviorcited by 8
  34. 2025Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Predictioncited by 8
  35. 2022Progressive Class Semantic Matching for Semi-supervised Text Classificationcited by 7
  36. 2022Conformal Prediction Bands for Two-Dimensional Functional Time Seriescited by 7
  37. 2022Transductive Decoupled Variational Inference for Few-Shot Classificationcited by 7
  38. 2022Exact and Approximate Conformal Inference for Multi-Output Regressioncited by 7

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