Weakly Supervised Learning

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13 papers in the last four weeks, up 225% on the four weeks before. 0.1% of all new papers.

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  1. A Proof-of-Concept Study of Weakly Supervised Labeling of Fine-Grained EEG Components for Artifact Attenuation

    Oct 7, 2026Lu Wang-Nöth, Hai Huang, Philipp Heiler +3ElectroencephalographyWeakly Supervised Learning

    Institute for Applied Computer Science, University of the Bundeswehr Munich, Munich, Germany · brainboost GmbH, Munich, Germany · Graduate School of Engineering Science, The University of Osaka, Osaka, Japan +1

  2. STORK: Spatio-Temporal Observation of uterine contRactions via neural networKs

    Oct 7, 2026Melissa Schween, Tristan Gottwald, Jordina Aviles Verdera +3Magnetic Resonance ImagingWeakly Supervised Learning

    CAIMED, Leibniz University Hannover, Hannover, Germany · L3S, Leibniz University Hannover, Hannover, Germany · Institute of Information Processing, Leibniz University Hannover, Germany +1

  3. What Frame-Level Labels Can and Cannot Do for Small-UAV Point Detection in Thermal Video

    Oct 6, 2026Wonbin Son, Gyumum Choi, Junil Seo +1Infrared Small Target DetectionWeakly Supervised Learning

  4. WildMatch: Weakly Supervised Image Matcher Adaptation for Wildlife Re-Identification

    Oct 5, 2026Turhan Can Kargin, Piotr Kubaty, Ekaterina Rostovskaya +3Animal Re-IdentificationImage Matching

    Faculty of Mathematics and Computer Science, Jagiellonian University, Poland · Doctoral School of Exact and Natural Sciences, Jagiellonian University, Poland · Institute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland +2

  5. Joint Class-Time Learning for Video Classification with Multi-Instance Partial-Label Learning

    Oct 5, 2026Lingyu Shen, Wei Tang, Fakhri Karray +1Weakly Supervised LearningMultiple Instance Learning

    School of Computer Science and Engineering, Southeast University, Nanjing 210096, China · Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates

  6. Spatial Supervision Without Attribution Optimization: Improving Post-Hoc Class Activation Maps via Box-Guided Evidence Routing

    Oct 5, 2026Wenhao Liang, Liangwei Nathan Zheng, Lin Yue +3Gradient-Based AttributionFeature Attribution

    Adelaide University, Adelaide, Australia

  7. Calibrated Weak Supervision for Post-Harvest Burned-Cropland Mapping Under Label Scarcity

    Oct 4, 2026Raunak Bhagate, Maitri Polisetty, R I MinuPost-Hoc CalibrationAgricultural Remote Sensing

    SRM Institute of Science & Technology

  8. Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images

    Sep 29, 2026Junhee Lee, Donghyeon Jeon, Taeoh Kim +2Image Forgery LocalizationWeakly Supervised Learning

    Kyung Hee University · NAVER Cloud

  9. From Change Captions to Change Detection: Semantic-Appearance Agreement Framework for Remote Sensing Change Detection

    Sep 23, 2026Yuan Qian, Jie MaRemote Sensing Change DetectionRemote Sensing

    School of Information Science and Technology, Beijing Foreign Studies University, Beijing 100089, China

  10. Weakly Supervised Quantum Error Mitigation

    Sep 22, 2026Seyed Mohamad Ali Tousi, G. N. DeSouzaWeakly Supervised LearningQuantum Error Mitigation

    Vision-Guided and Intelligent Robotics Lab (ViGIR) University of Missouri Columbia, US

  11. Multi-Label Proportion Learning for Sea-Ice Type Prediction

    Sep 14, 2026Samira Alkaee Taleghan, Younghyun Koo, Andrew P. Barrett +1Label Distribution LearningRemote Sensing

    University of Colorado Denver Denver, Colorado, USA · National Snow and Ice Data Center (NSIDC), CIRES, University of Colorado Boulder Boulder, Colorado, USA

  12. Extracting Dataset Mentions in Forced Displacement and FCV Documents: A Weakly Supervised Framework with LLM-Based Label Refinement

    Sep 14, 2026Rafael Macalaba, Aivin V. Solatorio, Patrick Michael Brock +1LLM-Assisted AnnotationDocument Information Extraction

    Development Data Group Office of the World Bank Group Chief Statistician The World Bank 1818 H Street N.W., Washington, 20433 District of Columbia, USA · World Bank UNHCR Joint Data Center UN City Marmorvej 51, 2100 Copenhagen, Denmark

  13. Soft Symbol Grounding for Prototypical Concepts

    Sep 14, 2026Marcos Galván-López, Nijesh Upreti, Hiram Calvo +2Prototype-Based ClassificationWeakly Supervised Learning

    Centro de Investigación en Computación, Instituto Politécnico Nacional. · School of Informatics, University of Edinburgh.

  14. Order-Aware 2.5D Multiple Instance Learning for Preoperative MRI-Based Perineural Invasion Risk Assessment in Intrahepatic Cholangiocarcinoma

    Sep 11, 2026Hyunsu Go, Youngung Han, Kyeonghun Kim +11Weakly Supervised LearningClinical Prediction

    Seoul National University, Seoul, Republic of Korea · OUTTA, Seoul, Republic of Korea · Chung-Ang University, Seoul, Republic of Korea +3

  15. 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

  16. Towards Stress-Aware Sentence-Level Filipino G2P With Weakly-Supervised ByT5 Fine-Tuning

    Sep 9, 2026Lorenz Bernard Marqueses, Paulo Grane Gabriel Silva, Chastine Cabatay +2Weakly Supervised LearningLow-Resource Language Processing

    De La Salle University, Manila, Philippines

  17. CAR-MIL: Counterfactual Attention Regularization for Multiple Instance Learning

    Sep 8, 2026Imane Chraki, Pierre Marza, Stergios Christodoulidis +1Computational PathologyWeakly Supervised Learning

    Université Paris-Saclay, CentraleSupélec, Gustave Roussy, INSERM, IHU PRISM, Cancer Data Science Unit, France · Université Paris-Saclay, CentraleSupélec, MICS Laboratory, France

  18. WSPolypNet: Weakly Supervised Polyp Localization in Colonoscopy Videos

    Sep 8, 2026Giseong Hwang, Minjae Jo, Yeonghyeon Park +9Video Object SegmentationWeakly Supervised Learning

    Seoul National University · NVIDIA AI Technology Center

  19. Weakly-supervised Kidney Tumor Classification from CT Scans with Multi-Instance Learning and Anatomical Filtering

    Sep 7, 2026Joonas Ariva, Dmytro FishmanOOD GeneralizationMedical Image Classification

    University of Tartu, Tartu, Estonia · STACC, Tartu, Estonia · Better Medicine, Tartu, Estonia

  20. AutoCompass: Accurate Visual Localization on Public Maps by Learning from Weak Labels

    Sep 2, 2026Javier Tirado-Garín, Alan Savio Paul, Shuai Chen +5Learning with Noisy LabelsWeakly Supervised Learning

    I3A, Universidad de Zaragoza · Niantic Spatial · University of Oxford

  21. Automated Borehole Core Analysis with Report-Derived Weak Labels and Supervised Crack Segmentation

    Aug 12, 2026Usama Imdad, Ali Khan, Luke Lu +2Weakly Supervised LearningBoundary-Aware Segmentation

    aLahore University of Management Sciences, Pakistan · ePI-Neuron, Australia · bSydney Water, Australia +2

  22. Gloss-Free Representation Learning for Cross-Dataset Sign Spotting

    Aug 11, 2026Oğuz Akif Tüfekcioğlu, Ezgi Ekin, Mustafa Kaan Çevik +1Weakly Supervised LearningLow-Resource Language Processing

    Hacettepe University, Ankara, Türkiye

  23. 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 +6Class-Imbalanced LearningData Augmentation

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

  24. CONFER: Conflict-Aware Evidence Negotiation for Regime-Calibrated Weak Supervision in Multimodal Emotion Recognition

    Aug 8, 2026Bojing Hou, Ruohao Li, Yitong Zhu +2Graph Neural NetworksMultimodal Robustness

    The Hong Kong University of Science and Technology (Guangzhou)

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

    Aug 7, 2026Wei Wang, Gang Niu, Masashi SugiyamaWeakly Supervised LearningLearning with Noisy Labels

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

  26. Transfer Learning for Avian Bioacoustics under Sparse Positive Labels

    Aug 4, 2026Dhyey Patel, Yunting YinMulti-Source Domain AdaptationWeakly Supervised Learning

    Eastern Michigan University Computer Science Department Ypsilanti, MI, USA

  27. Multiclass Classification without Labels via Posterior Simplex Geometry

    Jul 27, 2026Raphaël Bonnet-Guerrini, Johann Ioannou-Nikolaides, Troels Petersen +1Multiclass ClassificationWeakly Supervised Learning

    Niels Bohr Institute University of Copenhagen Copenhagen, 2100 · Computer Science Department Università degli Studi di Milano Milan, MI, 20133

  28. Weakly Supervised Instance-Level Gleason Pattern Estimation Using Primary and Secondary Labels

    Jul 26, 2026Nao Sugeta, Kaito Shiku, Shinnosuke Matsuo +1Weakly Supervised LearningOncology

    Kyushu University, Japan

  29. Gradient-Based Latent Decomposition Reveals Mechanisms of Feature Degradation in Weakly Supervised Mammography

    Jul 24, 2026Vinceline Bertrand, Ionut CardeiVariational AutoencodersHierarchical Representation Learning

    Florida Atlantic University, Boca Raton, FL, USA

  30. Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning

    Jul 23, 2026Zhihua Xu, Zhijing Yang, Yufeng Yang +1Contrastive LearningMulti-Label Classification

    aSun Yat-Sen University, Guangzhou, 510006, GuangDong, China · bGuangdong University of Technology, Guangzhou, 510006, GuangDong, China