Semi-Supervised Learning

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11 papers in the last four weeks, up 175% on the four weeks before. 0.1% of all new papers.

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  1. ProtoSeam: Lifting Classifier Training with Latent Gaussian Mixture Models

    Sep 28, 2026Robert Lampel, Timon Klein, Sebastian SagerLearnable PrototypesClassifier

    Department of Mathematics, Otto von Guericke University (Magdeburg, Germany) · Max Planck Institute for Dynamics of Complex Technical Systems (Magdeburg, Germany)

  2. SpecRegMatch: Robust Semi-Supervised Regression for Vehicle Interior Noise Prediction

    Sep 28, 2026Sejin Sim, Jinsoo Bae, Seoung Bum KimSemi-Supervised Learning

    School of Industrial and Management Engineering, Korea University, Seoul 02841, South Korea

  3. TNF based Spectral Embedding for Effective Application of Supervised Machine Learning Techniques in Automobile Insurance Fraud Detection

    Sep 27, 2026Rohan Yashraj Gupta, Lalith Srikanth Chintalapati, Satya Sai Mudigonda +2Fraud DetectionRandom Forest

    Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Vidyagiri, Puttaparthi, Andhra Pradesh, India.

  4. ConPro: Contrast Projection Pretraining for Label-Efficient Vessel Segmentation in DSA Sequences

    Sep 24, 2026Xinge Guo, Yuanhao Wang, Liqi Shu +2Vessel SegmentationCoronary Angiography

    Duke University, Durham, NC, USA · Carnegie Mellon University, Pittsburgh, PA, USA · University of Pittsburgh Medical Center, Pittsburgh, PA, USA

  5. Machine Unlearning for Gibbs Supervised Learning Algorithms

    Sep 24, 2026Yaiza Bermudez, Samir M. Perlaza, Iñaki EsnaolaGibbsExact Unlearning

    Centre Inria d’Universit´e Cˆote d’Azur, INRIA, Sophia Antipolis, France. · Laboratoire GAATI, Universit´e de la Polyn´esie franc¸aise, Fa‘a‘¯a, French Polynesia. · ECE Dept. Princeton University, Princeton, 08544 NJ, USA. +1

  6. Colon3R: Cross-Domain 3D Reconstruction from Monocular Colonoscopic Video

    Sep 21, 2026Zhihao Xing, Yingyu Wang, Liang Zhao +1Colonoscopy3D Reconstruction

  7. Learning Submanifolds for Subsequent Inference on Random Dot Product Graphs, Part 1: Theory

    Sep 16, 2026Michael W. Trosset, Carey E. PriebeData ManifoldSemi-Supervised Learning

    Department of Statistics, Indiana University. · Department of Applied Mathematics & Statistics, Johns Hopkins University.

  8. Decoder Design Matters for ECG Delineation

    Sep 15, 2026Joseph Scharpf, William Han, Chaojing Duan +3Electrocardiogram ClassificationU-Net

    Carnegie Mellon University · Allegheny Health Network · University of Colorado

  9. Relatively Smart II: Tractable or Semi-Supervised Instance-Optimal Learning

    Sep 11, 2026Shaddin Dughmi, Alireza F. PourSemi-Supervised LearningOptimal Sample Complexity

    University of Southern California · University of Waterloo

  10. Meta-Learning for Data-Efficient Plant Growth Estimation via Vision Transformers and Fuzzy Clustering

    Sep 9, 2026Sheikh Hasan Elahi, Rusith Chamara Hathurusinghe Dewage, Habib Ullah +3Few-Shot LearningMeta-Learning

    Department of Data Science, Norwegian University of Life Sciences (NMBU), Norway · Photosynthetic AS, Hegdehaugsveien 24, 0352 Oslo, Norway · Department of Mechanical Engineering and Technology Management, Norwegian University of Life Sciences (NMBU), Norway

  11. Semi-Supervised Learning under Spatially Biased Sampling

    Sep 7, 2026Bright Wiredu Nuakoh, Francky Fouedjio, Stephen Bradshaw +4Semi-Supervised LearningSpatial Supervision

    African Institute for Mathematical Sciences (AIMS), 17 KN 16 Ave, Kigali, Rwanda · Mathematical Application & Data Analytics Group, School of Science, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027, Australia · Data & Analytics, Rio Tinto, 152-158 St Georges Terrace, Perth, WA 6000, Australia +2

  12. DropClick: Semi-Automated One-Click Segmentation for Agricultural Robotic Data

    Sep 3, 2026Patrick Zimmer, Michael Halstead, Chris McCoolAgricultural RoboticsLarge-Scale Robot Demonstration Datasets

    University of Bonn, Germany · CSIRO, Australia

  13. Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models

    Sep 1, 2026Jinran Wu, You-Gan Wang, Geoffrey J. McLachlanSemi-Supervised LearningMixture Models

    The University of Queensland, Australia

  14. Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning

    Aug 31, 2026Yue Cheng, Jiajun Zhang, Xiaohui Gao +2Semi-Supervised LearningLogit Lens

    Beijing Jiaotong University · AntGroup · Northwestern Polytechnical University +1

  15. PseudoMapLabeler: Confidence-Aware Pseudo-Label Generation for Semi-Supervised Online Mapping

    Aug 12, 2026Chikao Tsuchiya, Dhaval Bhanderi, David Ilstrup +2Lane-Level Map GenerationHigh Confidence Pseudo-Labels

    Nissan Advanced Technology Center - Silicon Valley, Nissan North America, Santa Clara, CA 95014, USA

  16. 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

  17. QASP: Query-Adaptive Robust Vector Search Policy

    Jul 31, 2026Hakan Ferhatosmanoglu, Kushal Kumar, Tal Wagner +1Vector DatabaseSearch Algorithms

    Amazon Vancouver, Canada

  18. Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus

    Jul 30, 2026Rasmus Tirsgaard, Laurits Fredsgaard, Marisa Wodrich +2Semi-Supervised LearningEnsemble

    Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark.

  19. Rethinking Total Absorption Gamma Spectroscopy Deconvolution: Supervised Machine Learning vs Response-Matrix Methods

    Jul 30, 2026J. Balibrea-Correa, E. N{á}cher, C. Fonseca-Vargas +1Cosmic-Ray Syntactic PoolLaser-Induced Breakdown Spectroscopy

    Instituto de Física Corpuscular, CSIC - Universidad de Valencia, Spain, 46980, Valencia, Spain

  20. Rethinking EEG-Based Disease Diagnosis: Decoupling Instance Representation Learning from Subject-Level Supervision

    Jul 29, 2026Zhiyuan Ma, Zeyuan Li, Zhiyi Lu +7Small-Sample Electroencephalogram DatasetsMultiple Instance Learning

    School of Biomedical Engineering, Tsinghua Medicine, Tsinghua University · Department of Biomedical Engineering, Southern University of Science and Technology

  21. Unifying Active Learning and Semi-Supervised Learning for Medical Image Segmentation

    Jul 27, 2026Bahram Jafrasteh, Cheng Wan, Heejong Kim +2Semi-Supervised Medical Image SegmentationPool-Based Active Learning

    Department of Radiology, Weill Cornell Medicine, New York, NY, USA · Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA

  22. ESRVS: Extreme Semi-Supervised Retinal Vessel Segmentation with a Single Annotated Image

    Jul 27, 2026Mingzhi Xu, Yizhe ZhangVessel SegmentationSemi-Supervised Medical Image Segmentation

    Nanjing University of Science and Technology, Nanjing, China

  23. XMix: Combating Extremely Noisy Labels via Local Smoothness in Self-Supervised Feature Space

    Jul 26, 2026Chengqi Li, Yangdi Lu, Zhihao Shi +3Noisy LabelsSemi-Supervised Learning

    Department of Computing and Software, McMaster University · Département de génie logiciel et TI, École de Technologie Supérieure

  24. PC-Seg: Progressive Cross-View Consistency for 3D OCT Segmentation from Sparse 2D Annotations

    Jul 20, 2026Tsubasa Konno, Takahiro Ninomiya, Yukun Zhou +6Optical Coherence Tomography3D Medical Image Segmentation

    Graduate School of Information Sciences, Tohoku University, Japan · Department of Ophthalmology, Graduate School of Medicine, Tohoku University · Institute of Ophthalmology, University College London, UK +3

  25. Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations

    Jul 18, 2026Changyu Liu, Yuling Jiao, Jian HuangSemi-Supervised LearningGenerative Architectures

    Institute for Mathematics and Artificial Intelligence, Wuhan University, Wuhan, China. · School of Artificial Intelligence, Hubei Key Laboratory of Computational Science, Wuhan University, Wuhan, China. · Departments of Data Science and Artificial Intelligence, and Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.

  26. MTSSL: Meta-Thresholding Semi-Supervised Learning

    Jul 17, 2026Shuyang Liu, Ziang Zeng, Ruiqiu Zheng +4Semi-Supervised LearningMeta-Learning

    School of Statistics, East China Normal University, Shanghai 200062, China

  27. A Learning-Rate-Gated Failure of GRPO in a Small Language and Vision-Language Model Web Agent: A Controlled Null and Its Mechanism

    Jul 14, 2026Chengguang Gan, Zhixi Cai, Yunhao Liang +3Verifiable RewardsBatch

    Independent Researcher · Monash University · University of Chinese Academy of Sciences +2

  28. Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite

    Jul 11, 2026Yushi Hirose, Hiroo Irobe, Takafumi KanamoriSemi-Supervised LearningEmpirical Risk Minimization

    Department of Mathematical and Computing Science, Institute of Science Tokyo · 2RIKEN Center for Advanced Intelligence Project

  29. CASL-VAE: Learning Structured Latent Variables from Unpaired Data for Semi-supervised Clustering and Paired Sample Generation

    Jul 9, 2026Sai Spandana Chintapalli, Pratik Chaudhari, Christos DavatzikosStar-VaeLatent Variable

    Center for AI and Data Science for Integrated Diagnostics, University of Pennsylvania · Department of Bioengineering, University of Pennsylvania · Department of Electrical and Systems Engineering, University of Pennsylvania +1

  30. PS4: Proxy-Supervised Joint Training for Real Target Speaker Extraction

    Jul 9, 2026Wanyi Ning, Wei Zhou, Yingpeng Li +3Target Speaker ExtractionSpeaker Similarity

    Yijiahe AI, Nanjing, China · Tianjin University, Tianjin, China · Nanjing University, Nanjing, China

  31. Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization

    Jul 8, 2026Adam M. ObermanSemi-Supervised LearningGraph Representation Learning

    Department of Mathematics and Statistics, McGill University · Mila, Quebec AI Institute · LawZero

  32. A Near-Linear-Time Solver for Graph pp-Laplacian Semi-Supervised Learning via Continuation in pp

    Jul 3, 2026Oren E. LivneGraph LaplaciansSolver Iterations

    Pine Birch Analytics, Churchville, PA

  33. CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification

    Jul 3, 2026Alexandre L. M. LevadaData ManifoldAdaptive Sampling

    Federal University of São Carlos 13565-905, São Carlos-SP, Brazil

  34. Population-Based Multi-Objective Training of Discriminators for Semi-Supervised GANs

    Jul 2, 2026Francisco Sedeño, Francisco Chicano, Jamal ToutouhGenerative Adversarial NetworkConditional Gans

    ITIS Software, University of Malaga Malaga, Spain · CSAIL MIT, Cambridge, MA, USA

  35. SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification

    Jun 30, 2026Rui Shu, Tianpei Xia, Jingzhu HeSemi-Supervised LearningClassifier

    North Carolina State University · ShanghaiTech University

  36. Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning

    Jun 25, 2026Jiahe Chen, Qian Shao, Qiyuan Chen +4RectificationSemi-Supervised Learning

    College of Computer Science and Technology, Zhejiang University · Shanghai Innovation Institute · The Hong Kong University of Science and Technology (Guangzhou) +3

  37. Black-Box Assisted Regression: Phase Transitions and Minimax Optimality

    Jun 24, 2026Yan ZhouEmpirical Risk MinimizationSemi-Supervised Learning

    School of Mathematics and Statistics, Changsha University of Science and Technology.

  38. Dual Agreement Consistency Learning for Semi-Supervised Fetal Ultrasound Segmentation

    Jun 24, 2026Fangyijie Wang, Guénolé Silvestre, Ziyang Wang +1High Confidence Pseudo-LabelsSemi-Supervised Learning

    Research Ireland Centre for Research Training in Machine Learning · School of Medicine, University College Dublin, Dublin, Ireland · School of Computer Science, University College Dublin, Dublin, Ireland +1

  39. Hessian-augmented Supervised Learning for Hamilton-Jacobi-Bellman PDEs

    Jun 22, 2026Matías Gómez-Aedo, Behzad Azmi, Yuyang Huang +2Optimal ControlHamilton-Jacobi Reachability

    Department of Mathematics, Imperial College London, South Kensington Campus, SW7 2AZ London, UK · Department of Mathematics and Statistics, University of Konstanz, Germany · RICAM and Institute of Mathematics and Scientific Computing, University of Graz, Austria

  40. Learning by Shifting: Temporal View Construction for Time Series Contrastive Learning

    Jun 20, 2026Abdul-Kazeem Shamba, Kerstin Bach, Gavin TaylorTime-Series ClassificationContrastive Learning

    Norwegian University of Science and Technology, Norway · United States Naval Academy, USA

  41. Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents

    Jun 19, 2026Rajesh Mangannavar, Zachary Coalson, Pranay Dugar +1Large Language Model PlanningClassical Planning

    Oregon State University

  42. μμMatch: Foundation Models for Semi-supervised Learning and Domain Adaptation in EM

    Jun 19, 2026Marei Freitag, Olesia Korchevaia, Luca Freckmann +2Recent Vision Foundation ModelsWireless Foundation Models

    Life and Medical Sciences Institute (LIMES), University of Bonn, Germany · Institute of Computer Science, Georg-August-University Göttingen, Germany

  43. Subsampling for supervised learning in reproducing kernel Hilbert spaces

    Jun 19, 2026Eyal Vayness, Maxime SangnierReproducing Kernel Hilbert SpacesKernel Hilbert Spaces

    Sorbonne Universit´e, LPSM, Paris, France

  44. SLeDGe: Semi-Supervised Learning on Data Streams with Graph Structure Learning

    Jun 19, 2026Heechan Moon, Kijung ShinSemi-Supervised LearningGraph Representation Learning

    KAIST, Seoul, Republic of Korea

  45. Scaling Learning-based AEB with Massive Unlabeled Data

    Jun 17, 2026Xiangyu Wang, Yang Zhan, Mengxiang Hao +9Emergency Braking Intensity PredictionUnlabeled Data

    All authors are with Li Auto.

  46. Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection

    Jun 17, 2026Nassir MohammadClusteringInterpretable Anomaly Detection

    Cyber Innovation Lab, Airbus, Newport, UK

  47. Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation

    Jun 16, 2026Marina Chagas Bulach Gapski, Vinicius Atsushi Sato Kawai, Gustavo Rosseto Leticio +3Feature ExtractionGraph Neural Networks

    Department of Statistics, Applied Mathematics, and Computing (DEMAC), São Paulo State University (UNESP), Av. 24 A, Rio Claro, SP, 13506-900, Brazil. · Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), Av. Trabalhador São-carlense, 400 - Centro, São Carlos, SP, 13566-590, Brazil. · Department of Computer Science and Engineering, University of Quebec in Outaouais (UQO), 101 St-Jean Bosco, Gatineau, Quebec, J8X 3X7, Canada.

  48. Scaling LLM Reasoning from Minimal Labels: A Semi-Supervised Framework with a Lightweight Verifier

    Jun 15, 2026Keizo Kato, Chenhui Chu, Yugo Murawaki +1LLM Reasoning StrategiesProcess-Level Supervision

    Fujitsu Limited, Kawasaki, Japan · Kyoto University, Kyoto, Japan · National Institute of Informatics, Tokyo, Japan

  49. Instance-Aware Knowledge Distillation for Semi-Supervised Learning of an On-Board Multi-Task Dense Prediction Model for Collision Avoidance System

    Jun 15, 2026Gyutae Hwang, Sang Jun LeeDense PredictionAutonomous Driving Perception

    Division of Electronics and Information Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju, 54896, Republic of Korea

  50. In-Domain Supervised Pathology Report Classification: A Reproducible Pipeline from Data Curation to Production-Matched Evaluation

    Jun 14, 2026Isaac Hands, Bin Huang, Adam Spannaus +4False-Negative RateIn-Domain Accuracy

    Department of Computer Science, University of Kentucky, Lexington, KY, USA · UK Markey Cancer Center, Lexington, KY, USA · Kentucky Cancer Registry, Lexington, KY, USA +3

  51. Mutual Distillation of Dual-Foundation Models for Semi-Supervised PET/CT Segmentation

    Jun 14, 2026Fuyou Mao, Beining Wu, Yanfeng Jiang +5Positron Emission TomographySemi-Supervised Learning

    Central South University, Changsha 410083, China · Hangzhou Dianzi University, Hangzhou 310018, China · Communication University of Zhejiang, Hangzhou 310018, China +1

  52. Few-Shot Biomedical Relation Extraction with Large Language Models: A Viable Alternative to Supervised Learning?

    Jun 13, 2026Jakob Mraz, Tomaž Curk, Blaž ZupanRelation ExtractionRelational Deep Learning

    University of Ljubljana, Ljubljana, Slovenia · Baylor College of Medicine, Houston, Texas, USA

  53. Overhead Wildlife Locator (OWL): Benchmarking Weakly Supervised Learning for Aerial Wildlife Surveys

    Jun 11, 2026Isai Daniel Chacón, Zhongqi Miao, Bruno Demuro +9SpeciesUnmanned Aerial Vehicles

    Microsoft AI for Good Lab, Redmond, WA, USA · Center for Research and Formation in Artificial Intelligence (Cinfonia), Universidad de los Andes, Bogotá, Colombia · Conservation X Labs, Washington, D.C., USA +3

  54. Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression

    Jun 11, 2026Masahiro KatoCausal InferencesExponential Family

    Data Analytics Department, Mizuho-DL Financial Technology, Co., Ltd.

  55. SafeECGMatch: Calibration-Aware Joint Frequency and Time Space Semi-Supervised Learning for Open-Set ECG Classification

    Jun 6, 2026Hongkyu Koh, Ikbeom JangElectrocardiogram ClassificationHigh Confidence Pseudo-Labels

    Hankuk University of Foreign Studies · Yongin, Republic of Korea

  56. Robust and sparse support vector machine via hybrid truncated loss for supervised classification

    Jun 4, 2026Yuliang Yang, Chen Chen, Yuxiang Liu +1Support Vector MachinesConvex Loss

    School of Science, Beijing Forestry University, No.35 Qinghua East Road, 100083 Haidian, Beijing, China · Translational Cancer Research Center, Peking University First Hospital, No. 8 Xishiku Street, 100034 Xicheng, Beijing, China

  57. GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling

    Jun 3, 2026Guangcheng Zhu, Shenzhi Yang, Haobo Wang +9Reinforcement Learning With Verifiable RewardSemi-Supervised Learning

    1Zhejiang University · 2Ant Group

  58. Physics-Informed Neural Network Modeling of Biodegradable Contaminant Transport through GCL/SL Composite Liners

    Jun 3, 2026Dong Li, Yapeng Cao, Haiping Zhao +1Parametric Physics-Informed Neural NetworkOne-Dimensional Viscous Burgers Equation

    PhD, Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, VA 22030, USA · 2* PhD, State Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China · Laboratoire Navier/CERMES, École Nationale des Ponts et Chaussées, Institut Polytechnique de Paris, 77455 Marne-la-Vallée cedex 2, France +1

  59. A Benchmark for Semi-supervised Multi-modal Crowd Counting

    Jun 2, 2026Haoliang Meng, Xiaopeng Hong, Yabin Wang +1Multimodal ClassificationSemi-Supervised Learning

    Harbin Institute of Technology · Pengcheng Laboratory

  60. Bayes-Sufficient Representations in Supervised Learning

    Jun 2, 2026Vasileios SevetlidisPac-Bayesian TheoryBayesian

    Athena Research Center, Kimmeria Campus, Xanthi, Greece · Democritus University of Thrace, Vas. Sofias Campus, Xanthi, Greece · International Hellenic University, Serres, Greece