High Confidence Pseudo-Labels

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  1. False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents

    Sep 30, 2026Meijia Chen, Hao Li, Zheng Lu +12Self-Evolving AgentsSearch Agents

    Rutgers University · Independent Researcher · University of California, San Diego +3

  2. OTT3R: Multi-View 3D Reconstruction and Fast Dataset Generation at 1% Compute

    Sep 28, 2026Brandon Leblanc, Charalambos PoullisFeed-Forward 3D Reconstruction3D Reconstruction

    Immersive and Creative Technologies Lab, Concordia University, Montreal, Canada

  3. ABC-Align: Prediction-Powered Alignment with Adaptive Bias Control

    Sep 28, 2026Eric Frankel, Banghua Zhu, Sewoong Oh +1Large Language Model AlignmentReinforcement Learning From Human Feedback

    University of Washington, Seattle

  4. CRF Loss is How Networks Should Learn Boundaries in Weakly Supervised Segmentation

    Sep 28, 2026Joshua Li, Yuri BoykovHigh Confidence Pseudo-LabelsBoundaries

    Cheriton School of Computer Science University of Waterloo

  5. When Noise Meets Long-Tail: Feature-Threshold Dual Calibration for Robust Pseudo-Labeling

    Sep 27, 2026Ping Guo, Zhiqi Huang, Xinran LiHigh Confidence Pseudo-LabelsSemantic Segmentation

    Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Japan · School of Software, Dalian University of Technology, Dalian, China · School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen, China

  6. Pretrained ASR Pseudo-labeling for Noisy Police Audio

    Sep 24, 2026Kaavya Chaparala, Su Huang, Stephen L. Morgan +2High Confidence Pseudo-LabelsAutomatic Speech Recognition

    Johns Hopkins University, Baltimore, USA · Providence College, Providence, USA

  7. ICM: Intra-class Mixing for Domain Adaptation in Adverse Weather

    Sep 23, 2026Boying Li, Chang Liu, Britta Ayano Wilde +4Domain AdaptationEfficient Semantic Segmentation

  8. Learning from Distributed Eyes: Leveraging Collaborative Perception for Automated Model Adaptation

    Sep 16, 2026Yanan Ma, Yihang Tao, Zhengru Fang +4Collaborative PerceptionParameter-Efficient Adaptation

    Hong Kong JC Lab of Smart City and the Department of Computer Science, City University of Hong Kong, Hong Kong, China · School of Data Science, Lingnan University, Tuen Mun, Hong Kong, China · Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China

  9. Unlabeled Echoes: Pseudo-Labels and Genus-Aware Smoothing for Bat Call Recognition

    Sep 14, 2026Frank Fundel, Alexandra HowardPassive Acoustic MonitoringHigh Confidence Pseudo-Labels

    Ludwig-Maximilians-Universität München, Germany · University of the Free State, Department of Zoology and Entomology, Qwaqwa Campus, South Africa

  10. Over-Tightening-Aware Pseudo-Labeling for Tight-Boundary Speaker Diarization

    Sep 9, 2026Shota Horiguchi, Takanori Ashihara, Marc Delcroix +2Speaker DiarizationHigh Confidence Pseudo-Labels

    NTT, Inc., Japan

  11. How Far Can Synthetic Data Take Thai OCR?

    Sep 3, 2026Kunat PipatanakulLingdt-Vl-OcrOptical Character Recognition

    Wayu Research · Paxa Labs

  12. DESA-TTA: Dynamic EMA and Source Anchoring for Test-Time Adaptation

    Sep 1, 2026Atif Belal, Lilian Hollard, Marco Pedersoli +1Stable Test-Time AdaptationTest-Time Adaptation

    LIVIA, ILLS, Dept. of Systems Engineering, ETS Montréal, Canada

  13. Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting

    Sep 1, 2026Udo Schlegel, Shubhangi, Gabriel Dax +3High Confidence Pseudo-LabelsSemantic Segmentation

    LMU Munich, Munich, Germany · Munich Center for Machine Learning (MCML), Munich, Germany · Fraunhofer Institute for Integrated Circuits IIS, Nuremberg, Germany

  14. CapFrame: Text-Instructed Viewpoint Grounding in 3D Gaussian Scenes via Geometric Pseudo Labels

    Aug 31, 2026Jirong Li, Satoshi Ikehata, Shuhei Kurita +13D GaussianNovel View Synthesis

    Institute of Science Tokyo, Japan · Denso IT Laboratory, Inc., Japan · National Institute of Informatics, Japan

  15. CW-BASS v2: Saturation-Aware Pseudo-Label Selection for Semi-Supervised Segmentation under Foundation-Model Teachers

    Aug 13, 2026Ebenezer TarubingaHigh Confidence Pseudo-LabelsSemantic Segmentation

    AI Research Department, Ebenworks Systems, Seoul, Korea

  16. 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

  17. Boundary-Enhanced Segmentation of Pig Point Clouds in Commercial Housing Environments

    Aug 12, 2026Zhankang Xu, Fei Shi, Xiangyu Qi +6Point CloudsContours

    a Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China · d Bureau of Agriculture and Rural Affairs of Shangrao City, Jiangxi, China · c School of Science, China University of Geosciences (Beijing), Beijing 100083, China +1

  18. Learning from Multimodal Pseudo-Labels for Robust Open-Vocabulary Instance and Panoptic Segmentation

    Aug 12, 2026Duy Tran Thanh, Yeejin Lee, Byeongkeun KangOpen-Vocabulary SegmentationPanoptic Segmentation

    Department of Electronic Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul, 01811, South Korea · Department of Electrical and Information Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul, 01811, South Korea · School of Electrical and Electronics Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, South Korea

  19. TEAMMix: Taxonomy Enrichment Augmentation and Minority-augmented Mixing Strategy for LLM-enhanced Weak-Supervised Hierarchical Text Classification

    Aug 11, 2026Jian Zhang, Zhuohao Yang, Songlin Lei +6Large Language Model ClassificationHigh Confidence Pseudo-Labels

    School of Computer Science and Technology, Zhejiang University, Hangzhou, China · ZJU-UIUC Institute, Zhejiang University, Haining, China · Shaoxing K3i Technology Co. Ltd +1

  20. Triple Expert Learning from Noisy Labels for Semi-Supervised Vision Foundation Model Adaptation

    Aug 10, 2026Xuanyu Liu, Zheng Fang, Hongyang He +2Vision-Language Model AdaptationRecent Vision Foundation Models

    Department of Computer Science The University of Warwick Coventry, UK · Manifolda.AI London, UK · Institute for Math & AI Wuhan University Wuhan, China

  21. Topology-Aware Neighborhood Learning for Source-Free Cross-Scene Hyperspectral Image Classification

    Aug 6, 2026Qingmei Li, Juepeng Zheng, Jiarui Zhang +2Hyperspectral ImageDomain Adaptation

    Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · School of Artificial Intelligence, Sun Yat-Sen University, Zhuhai, China · Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, China +4

  22. Segmentation Pre-training for Label-Efficient Lumbar Spine Degeneration Grading

    Aug 5, 2026Monzon Maria, Zisserman Andrew, Jutzeler Catherine R. +1Multi Organ Computed Tomography SegmentationHigh Confidence Pseudo-Labels

    Biomedical Data Science Lab, Dept. D-HEST, ETH Zurich, Zurich, Switzerland · Swiss Institute of Bioinformatics (SIB), Lausanne, 1015, Switzerland · Visual Geometry Group, Dept. of Engineering Science, University of Oxford, UK

  23. A Cyclic Adaptation-Generalization Framework with Uncertainty-Guided Self-Paced Learning for Long-Term Brain-Machine Interfaces

    Jul 27, 2026Jiyu Wei, Di Hong, Zhanjie Zhang +3Brain-Computer InterfaceDomain Adaptation

    College of Computer Science and Technology, Zhejiang University, Hangzhou, China · 2Nanhu Brain-Computer Interface Institute, Hangzhou, China

  24. CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification

    Jul 15, 2026Yujie ZhuHigh Confidence Pseudo-LabelsLabel-Free

    State University of New York at Buffalo

  25. VSRo-200: A Romanian Visual Speech Recognition Dataset for Studying Supervision and Multimodal Robustness

    Jul 9, 2026Iulia-Maria Udrea, Alexandra Diaconu, Bogdan AlexeHigh Confidence Pseudo-LabelsVideo Dataset

    Department of Computer Science, University of Bucharest

  26. TACoS: Weakly Supervised Learning of Two-Dimensional Materials from Scribble Annotations to Precise Segmentation

    Jul 8, 2026Jiabei Chen, Liping Zhang, Jiang-Bin Wu +6Pixel-Level AnnotationMaterials Science

    AnnLab, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China · Center of Materials Science and Optoelectronics Engineering & School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, 100049, China · State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China

  27. USE: A Unified Self-Ensembling Framework for Test-Time Prompt Tuning

    Jul 4, 2026Siru Jiang, Jian Liang, Ran He +1Vision-Language Model AdaptationSoft Prompt Tuning

    School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences · NLPR & MAIS, Institute of Automation, Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences +1

  28. PixCon: Clean-Positive Contrastive Learning for Foundation-Model Semi-Supervised Segmentation

    Jul 3, 2026Ebenezer TarubingaEfficient Semantic SegmentationHigh Confidence Pseudo-Labels

    Ebenworks Systems, Seoul, Korea

  29. Enhancing BEST-RQ Pseudo-Label Quality through Online Refinement for Automatic Speech Recognition

    Jun 24, 2026Jingjing Xu, Zijian Yang, Mohammad Zeineldeen +3Automatic Speech RecognitionHigh Confidence Pseudo-Labels

    Machine Learning and Human Language Technology Group, RWTH Aachen University, Germany · Apptek GmbH, Aachen, Germany

  30. C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation

    Jun 24, 2026Hualong Zhang, Siyang Feng, Zihan Huan +4Digital PathologyHigh Confidence Pseudo-Labels

    Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin 541004, China · International Joint Research Laboratory of Spatio-temporal Information and Intelligent Location Services, Guilin University of Electronic Technology, Guilin 541004, China · School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China

  31. 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

  32. ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation

    Jun 18, 2026Tong Wang, Siwen Wang, Yaolei Qi +4Video Object SegmentationPolyp Segmentation

    Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Southeast University, Ministry of Education, Jiangsu, China · Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE · School of Medicine, Case Western Reserve University, Cleveland, OH, USA

  33. Confidence Score Guided Incremental and Speaker Adaptive Pseudo-Labeling for Semi-Supervised Elderly Speech Recognition

    Jun 15, 2026Chengxi Deng, Xurong Xie, Shujie Hu +7High Confidence Pseudo-LabelsCharacter Error Rate

    The Chinese University of Hong Kong, Hong Kong SAR, China · Institute of Software, Chinese Academy of Sciences, China · National Research Council Canada, Canada

  34. CPS4: Class Prompt driven Semi-Supervised Spine Segmentation with Class-specific Consistency Constraint

    Jun 14, 2026Qingtao Pan, Hongzan Sun, Bing Ji +1Multi Organ Computed Tomography SegmentationHigh Confidence Pseudo-Labels

    School of Control Science and Engineering, Shandong University, Jinan, Shandong 250061, China · Department of Computer and Data Science, Case Western Reserve University, Cleveland, OH 44106, USA · Department of Nuclear Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China +1

  35. Texture-Shape Bias Balancing for Robust Synthetic-to-Real Semantic Segmentation in Automotive NIR Imagery

    Jun 13, 2026Felix Stillger, Ben Hamscher, Lukas Hahn +3Synthetic-To-Real Domain GapEfficient Semantic Segmentation

    University of Wuppertal, Germany · Heinrich Heine University Düsseldorf, Germany · Aptiv, Germany +1

  36. 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

  37. Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching

    Jun 10, 2026Zhuoyi Peng, Hanlin Gu, Lixin Fan +1Gnn-Based DetectorsHigh Confidence Pseudo-Labels

    1The Hong Kong University of Science and Technology · 2WeBank

  38. Few-shot Class-variable Incremental Audio Classification via Prototype Adaptation and Pseudo Class-variable Training

    Jun 8, 2026Yanxiong Li, Guoqing Chen, Qianqian Li +1Few-Shot LearningClassifier

    School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China

  39. 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

  40. ShotCrop3^3: Cropping Human-Centric Images into Cinematic Triple-Shot Compositions

    Jun 4, 2026Dehong Kong, Lina Lei, Lingtao Zheng +10CroppingAesthetics

    1Huawei Noah’s Ark Lab · 2Sun Yat-sen University

  41. Quality-Guided Semi-Supervised Learning for Medical Image Segmentation

    Jun 1, 2026Kumar Abhishek, Ghassan HamarnehSemi-Supervised Medical Image SegmentationHigh Confidence Pseudo-Labels

    School of Computing Science, Simon Fraser University, Canada

  42. Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation

    May 30, 2026Yingxu Wang, Xinwang Liu, Siyang Gao +1Domain AdaptationHigh Confidence Pseudo-Labels

    Department of Computer Science and Engineering, Chinese University of Hong Kong · College of Computer, National University of Defense Technology, Changsha, 410073, China · Department of Data Science, City University of Hong Kong +1

  43. From Local Geometry to Global Pseudo Labeling for Robust Positive Unlabeled Learning under Covariate Shift

    May 29, 2026Firas Gabetni, Alexandre Rocchi Henry, Nacim Belkhir +2Covariate ShiftPositive--Unlabeled Learning

    U2IS, ENSTA · Institut Polytechnique de Paris · AMIAD, Pôle Recherche, Palaiseau

  44. Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation

    May 27, 2026Runlong Cao, Ying Zang, Chuanwei Zhou +4High Confidence Pseudo-LabelsPseudo-Label Quality

    School of Computer Science and Engineering, Nanjing University of Science and Technology · School of Information Engineering, Huzhou Normal University · School of Artificial Intelligence, Nanjing University of Posts and Telecommunications +3

  45. Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures

    May 24, 2026Hanzala Afzaal, Danish Memon, Chouhdary Bilal Raza +1Internet Of ThingIntrusion Detection

    School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan

  46. Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling

    May 22, 2026Yeseul Cho, Baekrok Shin, Changmin Kang +1High Confidence Pseudo-LabelsSemi-Supervised Learning

    Kim Jaechul Graduate School of AI, KAIST

  47. Holistic Reliability Propagation: Decoupling Annotation and Prediction for Robust Noisy-Label

    May 20, 2026Jingyang Mao, Ningkang Peng, Yanhui GuNoisy LabelsHigh Confidence Pseudo-Labels

    Nanjing Normal University Nanjing, China

  48. Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment

    May 15, 2026Yuchen Li, Zhen Zhao, Yi Liu +1Semi-Supervised Medical Image SegmentationCross-Modal Alignment

    The University of Sydney, Sydney, NSW 2006, Australia · Shanghai Artificial Intelligence Laboratory, Shanghai, China · Changzhou University, Changzhou, China

  49. Weakly Supervised Segmentation as Semantic-Based Regularization

    May 13, 2026Stefano Colamonaco, Andrei-Bogdan Florea, Jaron MaeneSemantic SegmentationHigh Confidence Pseudo-Labels

    KU Leuven · Apixa

  50. A Semi-Supervised Framework for Speech Confidence Detection using Whisper

    May 12, 2026Adam Wynn, Jingyun WangSpeakerSpeech Encoder

    Department of Computer Science, Durham, United Kingdom, DH1 3DF

  51. VVitCutLER: Towards Unsupervised Object Detection and Segmentation in Videos

    May 11, 2026Zhijing Lu, Khurram Azeem Hashmi, Didier Stricker +1Video Object SegmentationFine-Grained Video Understanding

    RPTU University of Kaiserslautern-Landau, Germany · German Research Center for Artificial Intelligence, Germany

  52. TINS: Test-time ID-prototype-separated Negative Semantics Learning for OOD Detection

    May 11, 2026Yifeng Yang, Jubo Feng, Jing Xu +3Out-Of-Distribution DetectionOpen-Vocabulary Object Detection

    Shanghai Jiao Tong University · University of Electronic Science and Technology of China · Shanghai Artificial Intelligence Laboratory +1

  53. ViewSAM: Learning View-aware Cross-modal Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking

    May 4, 2026Jiawei Ge, Xintian Zhang, Jiuxin Cao +9Multi-Object TrackingCross-Modal

    Southeast University · Universität der Bundeswehr München · Queen Mary, University of London +2

  54. SCGNN: Semantic Consistency enhanced Graph Neural Network Guided by Granular-ball Computing

    May 4, 2026Genhao Tian, Taihua Xu, Shuyin Xia +3Graph Neural NetworksGranular-Ball Computing

    JiangSu University of Science and Technoloy, Zhenjiang, Jiangsu, China · Chongqing University of Posts and Telecommunications, Chongqing, China · Zunyi Normal University, Zunyi, Guizhou, China

  55. Federated Semi-Supervised Graph Neural Networks with Prototype-Guided Pseudo-Labeling for Privacy-Preserving Gestational Diabetes Mellitus Prediction

    May 3, 2026G. Victor DanielFederated Graph LearningDiabetes

    School of Engineering, Anurag University, Hyderabad, Telangana, India

  56. JEPAMatch: Geometric Representation Shaping for Semi-Supervised Learning

    Apr 22, 2026Ali Aghababaei-Harandi, Aude Sportisse, Massih-Reza AminiSemi-Supervised LearningHigh Confidence Pseudo-Labels

    Université Grenoble Alpes, CNRS, Computer Science Laboratory LIG, Grenoble, France

  57. PanDA: Unsupervised Domain Adaptation for Multimodal 3D Panoptic Segmentation in Autonomous Driving

    Apr 21, 2026Yining Pan, Shijie Li, Yuchen Wu +2Panoptic SegmentationAutonomous Driving

    Singapore University of Technology and Design · Institute for Infocomm Research (I2R), A*STAR, Singapore

  58. Dynamic Visual-semantic Alignment for Zero-shot Learning with Ambiguous Labels

    Apr 20, 2026Jiangnan Li, Linqing Huang, Xiaowen Yan +3High Confidence Pseudo-LabelsLatent Representation Alignment

    College of Computer Science and Technology, Qingdao University · School of Computer Science, Shanghai JiaoTong University · Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences)

  59. TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models

    Apr 17, 2026Jinlun Ye, Jiang Liao, Runhe Lai +4Out-Of-Distribution DetectionVision-Language Model Adaptation

    Sun Yat-sen University · Peng Cheng Laboratory · Key Laboratory of Machine Intelligence and Advanced Computing, MOE +2

  60. ModuSeg: Decoupling Object Discovery and Semantic Retrieval for Training-Free Weakly Supervised Segmentation

    Apr 8, 2026Qingze He, Fagui Liu, Dengke Zhang +2Semantic SegmentationHigh Confidence Pseudo-Labels

    South China University of Technology, Guangzhou, China · Pengcheng Laboratory, Shenzhen, China