Pseudo-Labeling

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19 papers in the last four weeks, up 90% on the four weeks before. 0.2% of all new papers.

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  1. Constructing Structured Decision Sources for Consensus-Based Pseudo-Label Learning

    Oct 8, 2026Long WangPseudo-LabelingEnsemble Diversity

  2. Unsupervised Long-Tailed Adaptation of Vision-Language Models

    Oct 6, 2026Keliang Chen, Yaxin Hou, Hui Liu +1Long-Tail LearningVLM Adaptation

    School of Computer Science and Engineering, Southeast University, Nanjing 210096, China · School of Computing and Information Sciences, Saint Francis University, Hong Kong, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China

  3. Candidate Retention for Abductive Learning

    Sep 30, 2026Hao-Yuan He, Yu Liu, Ming LiAbductive ReasoningPseudo-Labeling

    School of Artificial Intelligence, Nanjing University · National Key Laboratory for Novel Software Technology, Nanjing University

  4. ProGuT: Label-Efficient Panoptic Segmentation for Forest Scenes

    Sep 29, 2026Pankaj Deoli, Karsten BernsImage SegmentationPanoptic Segmentation

    Robotics Research Lab, RPTU Kaiserslautern-Landau Gottlieb-Daimler-Str. 48, 67663 Kaiserslautern, Germany

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

    Sep 28, 2026Brandon Leblanc, Charalambos PoullisMulti-View 3D ReconstructionPseudo-Labeling

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

  6. Curating Merchant-Matching Training Data with Two Confidence-Gated Local LLM Judges

    Sep 27, 2026Donghao Huang, Jinling Pei, Zhaoxia WangLLM-as-a-JudgeSelective Prediction

    Research and Development, Mastercard, Arlington, VA, USA · School of Computing and Information Systems, Singapore Management University, Singapore

  7. An Active-Bottleneck Mechanism for Weak-to-Strong Generalization

    Sep 27, 2026Mohammad Zeinalpour, Amir NajafiWeak-to-Strong GeneralizationPseudo-Labeling

    Department of Computer Engineering, Sharif University of Technology

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

    Sep 27, 2026Ping Guo, Zhiqi Huang, Xinran LiImage SegmentationLong-Tail Learning

    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

  9. Pretrained ASR Pseudo-labeling for Noisy Police Audio

    Sep 24, 2026Kaavya Chaparala, Su Huang, Stephen L. Morgan +2Domain Adaptation for ASRAutomatic Speech Recognition

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

  10. Can Frozen Hyperspherical Features Guide the Selection of Pseudo Masks?

    Sep 24, 2026Xinge Guo, Fengyang Xiao, Dingming Zhang +6Promptable Image SegmentationPseudo-Labeling

    Duke University · Carnegie Mellon University · University of Alabama at Birmingham

  11. SplatLabel: Pseudo-Labelling through 4D Gaussian Splatting

    Sep 24, 2026Nitya Nanvani, Andras Palffy, Holger Caesar3D Gaussian Splatting3D Semantic Segmentation

    Perciv AI, The Netherlands · Delft University of Technology, The Netherlands

  12. 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 ZegarlinskiActive LearningTransfer Learning

    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.

  13. From Reliable Text to Real Voices: Trust-Aware Progressive Adaptation for Low-Resource TTS

    Sep 22, 2026Jiayi Lu, Yizhong Geng, Jinghan Yang +4Synthetic-to-Real Domain AdaptationLow-Resource TTS Synthesis

    Beijing Logic Intelligence Technology · University of Washington · Beijing University of Posts and Telecommunications +2

  14. A Practical Recipe for Semi-Supervised Federated ASR: Online Pseudo-Labels with Server Update Stabilization

    Sep 21, 2026Wonho Bae, Zakaria Aldeneh, Martin Pelikan +3Automatic Speech RecognitionPseudo-Labeling

    Apple

  15. Confidence-Aware Teacher-Student Distillation for 3D Medical Segmentation

    Sep 20, 2026Georgios Triantafyllou, Dimitris K. IakovidisSemi-Supervised Medical Image SegmentationMedical Image Segmentation

    Department of Computer Science and Biomedical Informatics, University of Thessaly, 2-4 Papasiopoulou st. 35131, Lamia, Greece

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

    Sep 16, 2026Yanan Ma, Yihang Tao, Zhengru Fang +4Unsupervised Domain AdaptationAutonomous Driving Perception

    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

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

    Sep 14, 2026Frank Fundel, Alexandra HowardPseudo-LabelingBioacoustics

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

  18. ThreshGuide: Class-Aware Labeled-Guided Thresholding for Semi-Supervised 3D Abdominal Multi-Organ Segmentation

    Sep 14, 2026Hongyu Liu, Yinlong Wang, Lusha Li +1Semi-Supervised Medical Image SegmentationMedical Image Segmentation

    School of Intelligent Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China

  19. Beyond Contact Sensors: Deep learning with Pseudo-Labeling for remote Photoplethysmography

    Sep 9, 2026Bhargav Acharya, Barbara Hammer, Hanna DrimallaRemote PhotoplethysmographyHeart Rate Estimation

    Center for Cognitive Interaction Technology (CITEC), Bielefeld University

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

    Sep 9, 2026Shota Horiguchi, Takanori Ashihara, Marc Delcroix +2Pseudo-LabelingBoundary-Aware Segmentation

    NTT, Inc., Japan

  21. Data-Efficient Crosswalk Segmentation from Overhead CCTV via Confidence- and Geometry-Guided Pseudo-Labeling

    Sep 8, 2026Abdirashid Omar, Jonghyuk ParkPseudo-LabelingSemantic Segmentation

    Department of Data Science, Graduate School of Kookmin University · Seoul 02707, Republic of Korea

  22. SimFuse3D: Source-Guided Target Simulation and Confidence-Guided Multi-Stage Localization Reweighting for Cross-Platform 3D Object Detection

    Sep 4, 2026Yongchun Lin, Xinliang Zhang, Yun Zou +7Unsupervised Domain AdaptationLidar-Based 3D Object Detection

    Guangdong University of Technology · SenseTime · The Hong Kong University of Science and Technology (Guangzhou)

  23. LetOccVote: Learning Weakly Supervised 3D Occupancy through Consensus

    Sep 4, 2026Chi Zhang, Qi Song, Feifei Li +23D Occupancy PredictionPseudo-Labeling

    Tsinghua University · Shenzhen Polytechnic University

  24. Progressive Pseudo-Label Optimization for Point-Supervised Change Detection

    Sep 2, 2026Hailong Ning, Hao Wang, Yimeng Wang +3Remote Sensing Change DetectionPseudo-Labeling

    Xi’an University of Posts and Telecommunications · Dalian Maritime University · School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology +2

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

    Sep 1, 2026Udo Schlegel, Shubhangi, Gabriel Dax +3Unsupervised Domain AdaptationText-Guided Image Segmentation

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

  26. Learning Materials Properties from Scarce Labels and Unlabeled Crystals

    Aug 31, 2026Wentao Li, Yizhe Chen, Jiangjie Qiu +3Materials Property PredictionPseudo-Labeling

    1Beijing Key Laboratory of Artificial Intelligence for Advanced Chemical Engineering Materials, State Key Laboratory of Chemical Engineering and Low-Carbon Technology, Department of Chemical Engineering, Tsinghua University

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

    Aug 13, 2026Ebenezer TarubingaPseudo-LabelingSemantic Segmentation

    AI Research Department, Ebenworks Systems, Seoul, Korea

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

    Aug 12, 2026Chikao Tsuchiya, Dhaval Bhanderi, David Ilstrup +2HD Map ConstructionPseudo-Labeling

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

  29. CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

    Aug 12, 2026Hoai Nhan Pham, Dang-Nguyen Bui, Le-Van Thai +7Histopathology Image SegmentationSemi-Supervised Medical Image Segmentation

    AI VIETNAM Lab, Vietnam · Portland Community College, USA · University of Science, VNU-HCM, Ho Chi Minh City, Vietnam +4

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

    Aug 12, 2026Duy Tran Thanh, Yeejin Lee, Byeongkeun KangPanoptic SegmentationInstance 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