Label Propagation

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4 papers in the last four weeks, up 33% on the four weeks before. 0.0% of all new papers.

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  1. Soft Strategy Selection for Batch-Mode Active Learning

    Oct 4, 2026Rushil Gupta, Romain LopezLearning-Augmented AlgorithmsLabel Propagation

    Department of Computer Science, Courant Institute School of Mathematics, Computing, and Data Science, New York University · Department of Biology, New York University

  2. Label-Efficient Learning for Ground-Based Sky-Image Classification: A Benchmark of Transfer Learning, Active Learning, and Pseudo-Labeling on GCD

    Sep 22, 2026Esther Bou Dagher, Viktoriya Bu-Dager, Boguslaw ZegarlinskiLabel PropagationGround Truth

    CEREMADE, Universit´e Paris Dauphine-PSL, Paris, France. · School of Computing and Information Science, Anglia Ruskin University, Cambridge, United Kingdom. · Institute of Mathematics, Polish Academy of Sciences, Warsaw, Poland.

  3. From matrix inversion to constraints: provably tighter confidence regions for importance weights in label shift

    Sep 13, 2026Mushan Li, Kihyun Han, Yanyuan MaImportance WeightingDomain Adaptation

    Department of Statistics, The Pennsylvania State University University Park, PA 16802, USA

  4. One Loop, Two Gains: Can Active Learning win the Lottery for Free?

    Sep 9, 2026Benedikt Tscheschner, Eduardo Veas, Marc MasanaPool-Based Active LearningActive Learning

    University of Technology Graz Know-Center Research GmbH Austria · Institute of Visual Computing University of Technology Graz Austria

  5. OSR: Output Space Redistribution for Adaptive Label Removal in Classification Models

    Sep 3, 2026Minyi Peng, Darian Gunamardi, Ivan Tjuawinata +2Label PropagationClassifier

    Nanyang Technological University, 50 Nanyang Ave, Singapore, 639798

  6. Low-Resource Preference Adaptation of LLMs via Activation-Based Label Propagation

    Aug 31, 2026Alessio Galatolo, Meriem BeloucifSequential Preference OptimizationPreference Alignment Learning

    Uppsala University

  7. Foundation Model-Enabled Efficient Data Sampling (FEEDS): A label-efficient training strategy for pan-cancer, multi-tracer PET/CT datasets

    Aug 11, 2026Biratal Raj Wagle, Bashirul Azam Biswas, Grant Chau +5Lesion SegmentationPositron Emission Tomography

    Department of Biomedical Data Science Geisel School of Medicine at Dartmouth Hanover, NH 03755, USA · Radiology Dartmouth Hitchcock Medical Center Lebanon, NH 03766, USA · Department of Urology Yale University New Haven, CT, USA +1

  8. Recent advances in weakly supervised learning: New supervision paradigms, assumption relaxations, and practical solutions

    Aug 7, 2026Wei Wang, Gang Niu, Masashi SugiyamaSemi-Supervised LearningLabel Propagation

    RIKEN, Tokyo, Japan · The University of Tokyo, Chiba, Japan

  9. How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image Classification

    Aug 4, 2026Julia Machnio, Mads Nielsen, Mostafa Mehdipour GhaziMedical Image ClassificationLabel Propagation

    Pioneer Centre for AI, University of Copenhagen, Copenhagen, Denmark

  10. Fermat Active Laplace Learning for Semi-Supervised Hyperspectral Image Classification

    Aug 3, 2026Vutichart Buranasiri, James M. MurphyHyperspectral ImageLabel Propagation

    Department of Mathematics Tufts University Medford, MA 02155, USA

  11. Beyond Static Costs: Learning-Dynamics Aware Loss Functions for Long-Tailed Classification

    Jul 28, 2026Varad Shinde, Nikhil Kumar Shrey, Magesh Rajasekaran +5Imbalanced ClassificationLoss Function

  12. Efficient Recommendations via Graph Coarsening and Label Propagation

    Jul 24, 2026Alessandro Sbandi, Federico Siciliano, Fabrizio SilvestriRecommendation QualityGraph Neural Networks

    Sapienza University of Rome, Rome, Italy · TIM S.p.A.

  13. Extending a Large View Synthesis Model for Multi-view Panoptic Segmentation

    Jul 22, 2026Kwonyoung Ryu, In-Jae Lee, Jonghyun Jin +3Panoptic SegmentationNovel View Synthesis

    POSTECH · Seoul National University · POSCO DX +1

  14. TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series

    Jul 20, 2026Gabor Szucs, Samuel Jacsev, Marcell Nemeth +2Class-Incremental LearningLabel Propagation

    Department of Telecommunications and Artificial Intelligence, Budapest University of Technology and Economics, Budapest, Hungary. · Department of Information Engineering, University of Padua, Padua, Italy.

  15. A multiverse-consensus pipeline for reproducible feature selection in untargeted LC-MS metabolomics

    Jul 19, 2026Mohammed Saeed Al-Huraibi, Ihsan Yozgat, Ahmet KaplanMetabolicFeature Selection

    1Istanbul Medipol University, Istanbul, Turkey · 2Istinye University, Istanbul, Turkey

  16. Noise-Robust Box-Supervised Infrared Small Target Detection via Physics-Inspired Soft Label Optimization

    Jul 19, 2026Xizhe Zhang, Fan Shi, Mianzhao Wang +3Infrared Small Target DetectionLabel Propagation

    Engineering Research Center of Learning-Based Intelligent System, Ministry of Education, Tianjin University of Technology, Tianjin, 300384, China · Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, 300384, China · School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, 300384, China

  17. Cover First, Disagree Softly: Rethinking Mismatch-First Active Learning for Frame-Level Audio Classification

    Jul 15, 2026Shiqi Zhang, Tuomas VirtanenPool-Based Active LearningActive Learning

    Audio Research Group, Tampere University, Tampere, Finland

  18. Greedy Volume Maximization of Gradient Embeddings for Long-Tailed Frame-Level Bioacoustic Active Learning

    Jul 15, 2026Shiqi Zhang, Marius Faiß, Ariana Strandburg-Peshkin +1Passive Acoustic MonitoringActive Learning

    1Audio Research Group, Tampere University, Tampere, Finland · Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior · 3International Max Planck Research School for Quantitative Behavior, Ecology and Evolution +1

  19. Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials

    Jul 2, 2026Gil Harari, Yoel Zimmermann, Ola Tangen Kulseng +4Interatomic PotentialsAdam

    John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA · Robert Bosch LLC Research and Technology Center, Watertown, MA, USA

  20. A Mechanism-Driven Theory of Phase Transitions in Active Learning

    Jun 30, 2026Julia Machnio, Mads Nielsen, Mostafa Mehdipour GhaziActive LearningLearnability

    Pioneer Centre for AI, University of Copenhagen, Copenhagen, Denmark

  21. Hybrid Active-Online Learning Framework for Label-Efficient Concept Drift Adaptation in Optical Network Failure Detection

    Jun 29, 2026Yousuf Moiz Ali, Jaroslaw E. Prilepsky, João Pedro +4Pool-Based Active LearningLabel Propagation

    Aston University, Birmingham, UK · Nokia, Optical Networks, Carnaxide, Portugal · Nokia, Munich, Germany

  22. Blackknife: Hard-Label Query-Limited Black-Box Attacks on Heterogeneous Graph Neural Networks

    Jun 28, 2026Honglin Gao, Junhao Ren, Lan Zhao +3Graph Neural NetworksWhite-Box Spectral-Subspace-Guided Attack

    Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore · Computer Network Information Center, Chinese Academy of Sciences, Beijing, China

  23. FedReLa: Imbalanced Federated Learning via Re-Labeling

    Jun 24, 2026Guangzheng Hu, Patricia Menéndez, Feng Liu +3Federated LearningImbalanced Classification

    School of Mathematics and Statistics, University of Melbourne, Victoria, Australia · School of Computing and Information Systems, University of Melbourne, Victoria, Australia · School of Statistics and Data Science, LPMC, KLMDASR, and LEBPS, Nankai University

  24. One-Shot Data Selection for Medical Image Classification via Graph Coverage

    Jun 20, 2026Zahiriddin Rustamov, Nadia Badawi, Rafat Damseh +1Medical Image ClassificationLabel Propagation

    Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates

  25. Bounding Box Label Propagation for Re-Annotation of Document Layout Analysis Datasets

    Jun 16, 2026Nick Jochum, Tobias Alt-Veit, Christian Schön +3Label PropagationEncoders

    Insiders Technologies GmbH, Kaiserslautern, Germany · DFKI – German Research Center for Artificial Intelligence · RPTU – University Kaiserslautern-Landau, Germany

  26. Tight Boundary Prediction in Speaker Diarization Using Causal-Anticausal Consistency

    Jun 10, 2026Shota Horiguchi, Marc Delcroix, Naohiro Tawara +2Speaker DiarizationHigh Confidence Pseudo-Labels

    NTT, Inc., Japan

  27. ALINC: Active Learning for Inductive Node Classification via Graph Sampling

    Jun 3, 2026Pascal Plettenberg, Denis Huseljic, André Alcalde +2Graph Representation LearningActive Learning

    Intelligent Embedded Systems, University of Kassel, 34121 Kassel, Germany · CELUS GmbH, 80339 Munich, Germany · GAIN Group, Institute of Data Science, University of Greifswald, 17489 Greifswald, Germany

  28. Learning Label-Efficient Interpretable Medical Image Diagnosis via Semi-supervised Hypergraph Concept Bottleneck Model

    Jun 1, 2026Yijun Yang, Ruiqiang Xiao, Lijie Hu +4Multiple Instance LearningLabel Propagation

    HKUST(GZ) · Joy Future Academy · MBZUAI +3

  29. Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution

    May 25, 2026Hongtao Wang, Renchi Yang, Haoran Zheng +1Label Propagation

    Hong Kong Baptist University · Hong Kong, China · Zhejiang University +1

  30. Long-term Fairness with Selective Labels

    May 21, 2026Giovani Valdrighi, Isabel Valera, Marcos Medeiros RaimundoAlgorithmic FairnessSelection Bias

    Instituto de Computac¸˜ao, Universidade Estadual de Campinas, Campinas, Brazil · Department of Computer Science, Saarland University, Saarbrücken, Germany

  31. Balancing Uncertainty and Diversity of Samples: Leveraging Diversity of Least, High Confidence Samples for Effective Active Learning

    May 21, 2026Vipul Arya, S. H. Shabbeer Basha, Srikrishna U N +2Pool-Based Active LearningActive Learning

    School of Computer Science and Engineering, RV University, Bengaluru, Karnataka-560059, India · School of Engineering & Technology, Vidyashilp University, Bangalore, India · Shiv Nadar Institution of Eminence, Delhi NCR

  32. Mitigating Label Bias with Interpretable Rubric Embeddings

    May 20, 2026Calvin Isley, Johann D. Gaebler, Sharad GoelBiasesLabel Propagation

    Harvard Kennedy School · Harvard University · Cambridge, MA 02139 +1

  33. Same Target, Different Basins: Hard vs. Soft Labels for Annotator Distributions

    May 20, 2026Mirerfan Gheibi, Gashin GhazizadehLabel PropagationHuman Annotators

    Independent Researcher.

  34. Robust Prior-Guided Segmentation for Editable 3D Gaussian Splatting

    May 15, 2026Raushan Joshi, Jean-Yves GuillemautInteractive 3D SegmentationGaussian Splatting

    University of Surrey, Guildford, Surrey, UK

  35. Embracing Biased Transition Matrices for Complementary-Label Learning with Many Classes

    May 15, 2026Tan-Ha Mai, Chao-Kai Chiang, Han-Hwa Shih +3Label PropagationComplementarity

    1National Taiwan University · 3RIKEN Center for Advanced Intelligence Project · 2The University of Tokyo

  36. Calibrate, Don't Curate: Label-Efficient Estimation from Noisy LLM Judges

    May 10, 2026Yanran LiJudgesLabel Propagation

    Department of Biostatistics Columbia University

  37. PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams

    May 8, 2026Pranavkumar Mallela, Vinay Kumar, Shashi Shekhar Jha +1Human-Ai CollaborationTeaming

    Indian Institute of Technology Ropar

  38. Adaptive graph-based algorithms for conditional anomaly detection and semi-supervised learning

    May 5, 2026Michal ValkoGraph Anomaly DetectionGraph Representation Learning

    Comenius University, Bratislava · University of Pittsburgh

  39. Repurposing and Evaluating the (In)Feasibility of Dataset Poisoning enabled Watermarking for Contrastive Learning

    May 3, 2026Zhiyang Dai, Yansong Gao, Boyu Kuang +5Contrastive LearningWatermarking

    School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China · University of Western Australia, Perth, Australia · College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China +3

  40. Towards Robust and Scalable Density-based Clustering via Graph Propagation

    May 1, 2026Yingtao Zheng, Hugo Phibbs, Ninh PhamClusteringApproximate Nearest-Neighbor Search

    School of Computer Science, University of Auckland, New Zealand. · Department of Mathematics and Computer Science, University of Southern Denmark, Denmark.

  41. A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation

    Apr 30, 2026Yang Zhou, Chaoyong Zhang, Ruoyi Hao +3Robotic Soft EsophagusReal-Time Systems

    School of Mechanical Science & Engineering Huazhong University of Science and Technology, Wuhan 430074, China · Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China · Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China +5

  42. G-Loss: Graph-Guided Fine-Tuning of Language Models

    Apr 28, 2026Aditya Sharma, Vinti Agarwal, Rajesh KumarContrastive LossLarge Language Model Pretraining

    BITS Pilani, India · Bucknell University, USA

  43. Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation

    Apr 24, 2026Vitalii Tutevych, Raphael Memmesheimer, Luca Eichler +4Label PropagationOpen-Vocabulary

    Autonomous Intelligent Systems Group, University of Bonn, Germany

  44. F\textsuperscript{2}LP-AP: Fast & Flexible Label Propagation with Adaptive Propagation Kernel

    Apr 22, 2026Yutong Shen, Ruizhe Xia, Jingyi Liu +1Graph Neural NetworksLabel Propagation

    Beijing University of Technology

  45. Holistic Optimal Label Selection for Robust Prompt Learning under Partial Labels

    Apr 8, 2026Yaqi Zhao, Haoliang Sun, Yating Wang +2Multiple Prompt Learning FrameworksLabel Propagation

    School of Software, Shandong University, Jinan, China

  46. Predicting integers from continuous parameters

    Feb 11, 2026Bas Maat, Peter BloemBayesian Neural NetworksLabel Propagation

    REVST · Learning & Reasoning Group Vrije Universiteit Amsterdam

  47. Rank-Constrained Adaptation for Reliable Real-World Performance

    Feb 6, 2026Abinitha Gourabathina, Hyewon Jeong, Teya Bergamaschi +2SubgroupsLabel Propagation

    Department of Electrical Engineering & Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA · Harvard School of Medicine, Harvard, Boston, MA, USA.

  48. Factorizable joint shift revisited

    Jan 21, 2026Dirk TascheDistribution ShiftsLabel Propagation

    Centre for Business Mathematics and Informatics, North-West University, South Africa

  49. Active Learning with Imperfect Labels: Optimal Labeler Assignment and Sample Selection

    Dec 14, 2025Pouya Ahadi, Blair Winograd, Camille Zaug +3Active LearningLabel Propagation

    School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta, GA 30332, USA · Ford Motor Company

  50. Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification

    Sep 29, 2025Yinghao Jin, Xi YangPool-Based Active LearningActive Learning

    Jilin University, China

  51. Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models

    Jul 5, 2025Shanshan Wang, Dian Xu, Jianmin Shen +3Phase TransitionsLabel Propagation

    Key Laboratory of Quark and Lepton Physics (MOE) and Institute of Particle Physics, Central China Normal University, , Wuhan, 430079, Hubei, China · School of Engineering and Technology, Baoshan University, , Baoshan, 678000, Yunnan, China · Ecole Superieure d’Informatique Electronique Automatique, , Ivry-sur-Seine, 94200, , France

  52. "You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling

    Mar 26, 2024Christopher Bagdon, Prathamesh Karmalker, Harsha Gurulingappa +1Human AnnotatorsEmotion Recognition

    Merck Data & AI Organization, Merck Group, Darmstadt, Germany · Institut für Maschinelle Sprachverarbeitung, University of Stuttgart, Germany · Fundamentals of Natural Language Processing, University of Bamberg, Germany +1