Positive-Unlabeled Learning

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3 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. Positive-Unlabeled Learning for Agent Safety False Alarm Auditing

    Oct 2, 2026Xichen Yan, Chongyang Gao, Kezhen Chen +3AI Agent SafetyPositive-Unlabeled Learning

    Jinan University · Northwestern University · Analogy AI, Inc. +3

  2. GeoCFM: Positive-Only Conditional Flow Matching for Mineral Occurrence Sampling

    Sep 28, 2026Moshe Eliasof, Eldad HaberConditional Flow MatchingGeospatial Reasoning

    Faculty of Computer and Information Science, Ben-Gurion University of the Negev, Israel · Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Canada

  3. Partial AUC Maximization from Positive-unlabeled Data

    Sep 25, 2026Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama +3Binary ClassificationPositive-Unlabeled Learning

    NTT, Inc.

  4. PU classification under Non-SCAR: clustering-assisted logistic model with oversampling enhancement

    Sep 13, 2026Konrad Furmańczyk, Kacper PaczutkowskiPositive-Unlabeled LearningWeakly Supervised Learning

    Institute of Information Technology, Warsaw University of Life Sciences, Warsaw, Poland

  5. AUC Maximization from Biased Positive-unlabeled Data with Confidence

    Sep 10, 2026Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi +3Class-Imbalanced LearningPositive-Unlabeled Learning

    NTT, Inc.

  6. Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation

    Aug 5, 2026Yuta Kobayashi, Pradyun Ramesh, Muhammad Ahmed Chaudhry +5Radiology Report GenerationRadiology VLMs

    Columbia University · Stanford University · Emory University

  7. 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

  8. PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference

    Jul 15, 2026Xutao Wang, Hanting Chen, Tianyu Guo +1Inverse Probability WeightingPositive-Unlabeled Learning

    Huawei Noah’s Ark Lab

  9. Quantifying and Auditing LLM Evaluation via Positive--Unlabeled Learning

    Jun 17, 2026Zilong Zhang, Yi-Ting Hung, Lei Ding +1Inverse Optimal TransportLLM-as-a-Judge

    Department of Mathematics and Statistics Georgia State University · Department of Statistics University of Manitoba

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

    May 29, 2026Firas Gabetni, Alexandre Rocchi Henry, Nacim Belkhir +2Distribution Shift RobustnessCovariate Shift

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

  11. SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection

    May 19, 2026Sudheer Tubati, Amit GoyalEnsemble LearningHard Negative Mining

    Amazon Music Seattle, USA · Amazon Music San Francisco, USA

  12. Focused PU learning from imbalanced data

    May 14, 2026Elias Zavitsanos, Georgios PaliourasClass-Imbalanced LearningBinary Classification

    Institute of Informatics and Telecommunications, NCSR “Demokritos”, Patriarhou Gregoriou E and 27 Neapoleos St., Agia Paraskevi, 15310, Attica, Greece.

  13. Personalizing LLMs with Binary Feedback: A Preference-Corrected Optimization Framework

    May 11, 2026Xilai Ma, Liye Zhao, Weijun Yao +3LLM PersonalizationUser Preference Modeling

    Harbin Institute of Technology, Shenzhen, China · Huawei Technologies Co., Ltd. · Nanyang Technological University

  14. Better Protein Function Prediction by Modeling Survivorship Bias

    May 7, 2026Zhongmou Chao, Poompol Buathong, Ekaterina Selivanovitch +2Weakly Supervised LearningMolecular Property Prediction

    Smith School of Chemical and Biomolecular Engineering, Cornell University, USA · Center for Applied Mathematics, Cornell University, USA · School of Operations Research and Information Engineering, Cornell University, USA

  15. In-Context Positive-Unlabeled Learning

    May 7, 2026Siyan Liu, Yi Chang, Manli Cheng +2Binary ClassificationWeakly Supervised Learning

    Department of Statistics and Actuarial Science, University of Waterloo

  16. ReLIC-SGG: Relation Lattice Completion for Open-Vocabulary Scene Graph Generation

    Apr 24, 2026Amir Hosseini, Sara Farahani, Xinyi Li +1Scene Graph GenerationPositive-Unlabeled Learning

    Amirkabir University of Technology

  17. Predicting Scale-Up of Metal-Organic Framework Syntheses with Large Language Models

    Apr 21, 2026Peter Walther, Hongrui Sheng, Xinxin Liu +7AI-Assisted Scientific ResearchMaterials Science

    Department of Chemistry, Washington University, St. Louis, MO 63130, USA. · Department of Chemistry, Fudan University, Shanghai 200438, China. · Department of Computer and Information Science, University of Pennsylvania, PA 19104, USA. +2

  18. A proposal for PU classification under Non-SCAR using clustering and logistic model

    Apr 18, 2026Konrad Furmanczyk, Kacper PaczutkowskiLogistic RegressionWeakly Supervised Learning

    Institute of Information Technology, Warsaw University of Life Sciences, Warsaw, Poland

  19. Detecting Media Clones in Cultural Repositories Using a Positive Unlabeled Learning Approach

    Apr 5, 2026V. Sevetlidis, V. Arampatzakis, M. Karta +3Positive-Unlabeled Learning

    Archimedes, ATHENA RC, Greece

  20. A Unified and Stable Risk Minimization Framework for Weakly Supervised Learning with Theoretical Guarantees

    Nov 28, 2025Miao Zhang, Junpeng Li, Changchun Hua +1Weakly Supervised LearningStatistical Learning Theory

    Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao, China

  21. Synthesizability Prediction of Crystalline Structures with Structure-Aware Feature Learning and Uncertainty Quantification

    Oct 22, 2025Danial Ebrahimzadeh, Sarah Sharif, Yaser Mike BanadMaterials Property PredictionMaterials Science

    School of Electrical and Computer Engineering, University of Oklahoma, 110 W. Boyd St., Norman, 73019, Oklahoma, USA.

  22. Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data

    May 29, 2024Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai +1Weakly Supervised LearningPositive-Unlabeled Learning

    NTT