Active Learning

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10 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

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  1. Participation-Sensitive Convergence and the Fragment First, Converge Later Pattern in Asynchronous Online Learning: A Topological Analysis Across 22 OULAD Courses

    Oct 1, 2026Hitoshi Inoue, Koichi YasutakeParticipationCohort

    Nakamura Gakuen University, Japan · Hiroshima University, Japan

  2. Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference

    Sep 23, 2026Ben McEwen, Shiqi Zhang, Dan StowellBiodiversity MonitoringActive Learning

    Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, the Netherlands · Faculty of Information Technology and Communication Sciences, Tampere University, Finland · Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands +1

  3. On the Sample Complexity of Active Learning with Membership Queries

    Sep 23, 2026Ganghua Wang, Shaddin DughmiPool-Based Active LearningActive Learning

    Department of Mathematics University of Arizona · Department of Computer Science University of Southern California

  4. Benchmarking Active Spot Selection for Cost-Efficient Spatial Transcriptomics

    Sep 23, 2026Zheyu Zhu, Junchao Zhu, Fengbei Liu +7Spatial TranscriptomicsActive Learning

    University of Pennsylvania, Philadelphia, PA 19104, USA · Vanderbilt University, Nashville, TN, USA · Cornell Tech, New York, NY 10044, USA +4

  5. 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 ZegarlinskiLabel PropagationGround Truth

    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.

  6. Online Adaptive Kernel Mixing for Gaussian Process Decision Making

    Sep 17, 2026Kavin Aravindan, Mani Tej Sriram, Gautam Dasarathy +1Gaussian ProcessKernel Method

    International Institute of Information Technology, Hyderabad · Arizona State University

  7. Task-Oriented Active Learning of Residual Dynamics for Model Predictive Path Integral Control

    Sep 16, 2026Nobuaki Aoki, Hojin Lee, Stefan Sosnowski +1Model Predictive Path IntegralPool-Based Active Learning

    Chair of Information-oriented Control (ITR), Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany · Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich, Germany

  8. BioDCASE: Active Learning for Bioacoustics

    Sep 14, 2026Ben McEwen, Rupa Kurinchi-Vendhan, Shiqi Zhang +3Passive Acoustic MonitoringActive Learning

    University of Amsterdam, Amsterdam, Netherlands · Massachusetts Institute of Technology, Cambridge, Massachusetts, USA · Tampere University, Finland +2

  9. Decision-Focused Active Learning for Scale-Aware Critical-Materials Recovery

    Sep 10, 2026Niranjan Srinivas, Debajyoti Ray, Elias NakouziActive LearningBayesian Experimental Design

    Coactive Inc. · Pacific Northwest National Laboratory

  10. One Loop, Two Gains: Can Active Learning win the Lottery for Free?

    Sep 9, 2026Benedikt Tscheschner, Eduardo Veas, Marc MasanaPool-Based Active LearningActive Learning

    University of Technology Graz Know-Center Research GmbH Austria · Institute of Visual Computing University of Technology Graz Austria

  11. Improving Clinical Target Volume Segmentation Accuracy using Anatomical Priors and Active Learning for the AGITG TOPGEAR Clinical Trial

    Sep 2, 2026Phillip Chlap, Mark Lee, Trevor Leong +11Semi-Supervised Medical Image SegmentationAnatomical Priors

    University of New South Wales, South Western Sydney Clinical School, Sydney, Australia · Ingham Institute for Applied Medical Research, Sydney, Australia · Liverpool and Macarthur Cancer Therapy Centres, Department of Radiation Oncology, Sydney, Australia +8

  12. AdaptNTK: Adaptive Uncertainty Quantification and Active Learning for Neural Network Potentials

    Aug 31, 2026Prajwal Ananth, Shuwen YueInteratomic PotentialsActive Learning

    Center for Applied Mathematics, Cornell University, Ithaca, NY, USA · R. F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA

  13. Cost-efficient Active Learning for Referring Image Segmentation and Grounding

    Aug 31, 2026Junbeom Hong, Seonghoon Yu, Hyung Rok Jung +2Pool-Based Active LearningActive Learning

    1Meissa · 2KAIST · 3GIST +1

  14. Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity

    Aug 25, 2026Heng Zhang, Haotian Xiang, Konstantinos D. Polyzos +2Bayesian OptimizationActive Learning

    University of Georgia, Athens, GA, USA · University of California San Diego, La Jolla, CA, USA

  15. A Remote Approach to Cashew Orchard Detection: Leveraging Active Learning with Satellite Imagery in Guinea-Bissau

    Aug 12, 2026Miguel, Sofia, Maria +3Forest BiomassSatellite Imagery

    Department of Computer Science, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal · INESC-TEC, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal · Forest Research Centre, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal +2

  16. An active-learning framework for real-time depth perception from monocular vision streams

    Aug 5, 2026Xiaorong Zeng, Weiqiang Chen, Peng Shi +4Mobilenetv2Active Learning

    School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, Fujian 361024, China · King Long United Automotive Industry Co. Ltd., Xiamen 361023, China · School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5005, Australia +2

  17. How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image Classification

    Aug 4, 2026Julia Machnio, Mads Nielsen, Mostafa Mehdipour GhaziMedical Image ClassificationLabel Propagation

    Pioneer Centre for AI, University of Copenhagen, Copenhagen, Denmark

  18. Active Regression for Single-Index Models with Unknown Link Functions

    Aug 2, 2026Chansophea Wathanak In, Yi Li, Wai Ming Tai +1Active LearningLower Bounds

    School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore · Independent Researcher · John Hopcroft Center for Computer Science, Shanghai Jiao Tong University, China

  19. FunnelAL: Retrieve-then-Rank Active Learning for Single-Class Discovery

    Jul 28, 2026Reihaneh Rostami, Brian GoodwinPool-Based Active LearningActive Learning

    RAIC Labs · RAIC Labs USA

  20. 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

  21. Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection

    Jul 17, 2026Hadrien Crassous, Mohamed Yassine Kabouri, Minahil Raza +2Object DetectionPool-Based Active Learning

    Inria Scool, the Universit´e de Lille and also with the Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) · LAAS-CNRS, Universite de Toulouse, CNRS, Toulouse, France · Department of Electrical Engineering and Automation at Aalto University

  22. Evaluating Epistemic Uncertainty: Beyond OOD Detection and Active Learning

    Jul 16, 2026Jakub Paplhám, Willem Waegeman, Eyke Hüllermeier +1Dynamic Epistemic LogicOut-Of-Distribution Detection

    Czech Technical University in Prague · Ghent University · LMU Munich, MCML, DFKI

  23. Cover First, Disagree Softly: Rethinking Mismatch-First Active Learning for Frame-Level Audio Classification

    Jul 15, 2026Shiqi Zhang, Tuomas VirtanenPool-Based Active LearningActive Learning

    Audio Research Group, Tampere University, Tampere, Finland

  24. Greedy Volume Maximization of Gradient Embeddings for Long-Tailed Frame-Level Bioacoustic Active Learning

    Jul 15, 2026Shiqi Zhang, Marius Faiß, Ariana Strandburg-Peshkin +1Passive Acoustic MonitoringActive Learning

    1Audio Research Group, Tampere University, Tampere, Finland · Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior · 3International Max Planck Research School for Quantitative Behavior, Ecology and Evolution +1

  25. Active Learning for Efficient Annotation of Surgical Videos with Weak Supervision

    Jul 14, 2026Manasa Dendukuri, Matjaz Jogan, Daniel A. Hashimoto +1Surgical VideosVideo Object Segmentation

    1*GRASP Laboratory, University of Pennsylvania, 3330 Walnut Street, Philadelphia, PA, 19104, USA. · 2PCASO Laboratory, Dept. of Surgery, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA. · 3Dept. of Computer and Information Science, University of Pennsylvania, 3330 Walnut Street, Philadelphia, PA, 19104, USA.

  26. Slide-Level Active Learning Reduces Annotation Burden in H&E images

    Jul 10, 2026Mahsa Vali, Zhilong Weng, Noémie Moreaua +2Digital PathologyPool-Based Active Learning

    Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany · Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany · Faculty of Mathematics and Natural Sciences, University of Cologne, Cologne, Germany +3

  27. Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics

    Jul 10, 2026Hugo CuiInfluence FunctionHigh-Dimensional

    Université Paris-Saclay, CNRS, Laboratoire de mathématiques d’Orsay, 91405, Orsay, France

  28. Optimal Top-kk Identification from Pairwise Comparisons

    Jul 9, 2026Motti Goldberger, Nils RudiTop-KActive Learning

    Yale University, New Haven, CT, USA.

  29. The Approximation Ratio for the Risk of Myopic Bayesian Active Learning for Linear Regression

    Jul 7, 2026Stephen MussmannPool-Based Active LearningActive Learning

    School of Computer Science Georgia Institute of Technology

  30. Active Learning on Adversarially Corrupted Graphs

    Jul 6, 2026Marco Bressan, Nicolò Cesa-Bianchi, Tommaso d`Orsi +2Bounded AdversaryActive Learning

    Università degli Studi di Milano, Italy · Bocconi University, Italy · Google Research

  31. Adaptive Diversity-Uncertainty Active Learning with Redundancy Control for Bioacoustic Event Classification

    Jul 6, 2026Gabriel Dubus, Hugo Magaldi, Anatole Gros-MartialPassive Acoustic MonitoringActive Learning

    Eco-Anthropologie, Mus´eum National d’Histoire Naturelle, UMR7206, CNRS, Paris, France · Centre d’Etudes Biologiques de Chiz´e, UMR 7372, CNRS, La Rochelle Universit´e, France

  32. Group-invariant Coresets for Data-efficient Active Learning

    Jul 1, 2026L. C. Ayres, J. C. M. Bermudez, S. J. M. de Almeida +1Geometry-Aware Uncertainty CoresetsPool-Based Active Learning

    Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil · Universidade Católica de Pelotas, Pelotas, RS, Brazil · Université de Lorraine, CNRS, CRAN, Vandoeuvre-lès-Nancy, France

  33. Active Learning for Cascaded Object Detection: Balancing Coverage and Uncertainty in Table Extraction Pipelines

    Jul 1, 2026Eliott Thomas, Mickael Coustaty, Aurelie Joseph +3Active LearningObject Detection

    L3i, La Rochelle Université, La Rochelle, France · Yooz, Aimargues, France

  34. Detecting the Undetectable: Enhancing Unsupervised time series Anomaly Detection via Active Learning

    Jul 1, 2026Seung Hun Han, Hyeongwon Kang, Jinwoo Park +1Time-Series Anomaly DetectionTime Series

    LG CNS, 71 Magokjungang 8-ro, Gangseo-gu, Seoul, Republic of Korea · Department of Industrial & Management Engineering, Korea University, 126-16 Anam-dong 5-ga, Seongbuk-gu, Seoul, Republic of Korea · Department of Industrial Engineering, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul, Republic of Korea

  35. A Methodology for Investigating AI Patterns Prevalence in Software Repositories

    Jul 1, 2026Srinath Perera, Hasinthaka Piyumal, Frank Leymann +1Code QualityMethodology

    WSO2 · Santa Clara, CA, USA · University of Stuttgart2 +1

  36. A Mechanism-Driven Theory of Phase Transitions in Active Learning

    Jun 30, 2026Julia Machnio, Mads Nielsen, Mostafa Mehdipour GhaziActive LearningLearnability

    Pioneer Centre for AI, University of Copenhagen, Copenhagen, Denmark

  37. Transformer-Based Active Learning for Data-Efficient Vaccine Epitope Selection in PRRS

    Jun 27, 2026Aspen Erlandsson Brisebois, Zahed Khatooni, Connor Burbridge +5Epitope PredictionPool-Based Active Learning

    Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK, Canada · Engineering Science, Faculty of Applied Science, University of Toronto, Toronto, ON, Canada · Department of Mathematics and Statistics, University of Saskatchewan, Saskatoon, SK, Canada +4

  38. One-Shot Data Selection for Medical Image Classification via Graph Coverage

    Jun 20, 2026Zahiriddin Rustamov, Nadia Badawi, Rafat Damseh +1Medical Image ClassificationLabel Propagation

    Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates

  39. Dataset-Aware Cold-Start Active Learning for Annotation-Efficient 3D Medical Image Segmentation

    Jun 18, 2026Rémi Hattat, Marine Beaumont, Charline Bertholdt +33D Medical Image SegmentationPool-Based Active Learning

    IADI (U1254), Inserm and Université de Lorraine, Nancy, France · CIC-IT 1433, Inserm, Université de Lorraine, and CHRU Nancy, Nancy, France

  40. QueryMarket: Cost-Aware Online Active Learning in Data Markets

    Jun 16, 2026Xiwen Huang, Pierre PinsonPool-Based Active LearningActive Learning

    Dyson School of Design Engineering, Imperial College London, London, SW7 2DB, U.K. · Dyson School of Design Engineering, Imperial College London, London, U.K. · Halfspace (part of Accenture) +2

  41. Prediction of Runtime Parameters of Parallel Chemistry Applications via Active and Generative Learning

    Jun 15, 2026Tanzila Tabassum, Omer Subasi, Ajay Panyala +5Quantum ChemistryHeterogeneous Catalysis

    1Louisiana State University, Baton Rouge, Louisiana, USA · 2Pacific Northwest National Laboratory, Richland, Washington, USA · University of Utah, Salt Lake City, Utah, USA

  42. Active Learning with Low-Rank Structure for Data Selection

    Jun 14, 2026Vincent Cohen-Addad, Sasidhar Kunapuli, Vahab Mirrokni +3Geometry-Aware Uncertainty CoresetsLow-Rank Structure

    Google Research. · University of California, Berkeley. · Institute of Science and Technology Austria (ISTA). +2

  43. A Complexity Measure for Active Learning in Multi-group Mean Estimation

    Jun 12, 2026Abdellah Aznag, Rachel Cummings, Adam N. ElmachtoubActive LearningOptimal Sample Complexity

    Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University

  44. A Qualitative Review of GenAI-Based Methods for Data Generation and Augmentation in Industrial Computer Vision Applications

    Jun 12, 2026Paul Koch, Paul Hofmann, Ferdinand Waßelewsky +3AugmentationData Generation

    Fraunhofer IPK pascalstraße 8-9, Berlin,Germany · Hamburg University of Applied Sciences (HAW Hamburg) Stiftstraße 69, Hamburg, Germany · Technical University Berlin (Tu-Berlin)Jun pascalstraße 8-9, Berlin, Germany

  45. cAPM: Continual AI-Assisted Pace-Mapping with Active Learning

    Jun 11, 2026Dylan O'Hara, Pradeep Bajracharya, Casey Meisenzahl +7Active Learning

    Rochester Institute of Technology, Rochester, New York, USA · Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, USA · Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, USA +5

  46. ATLAS: Active Theory Learning for Automated Science

    Jun 10, 2026Noémi Éltető, Nathaniel D. Daw, Kimberly L. Stachenfeld +1Behavioral Foundation ModelsActive Learning

    Google DeepMind London, UK · Princeton University; Google DeepMind Princeton, NJ, USA · Google DeepMind; Colombia University New York, NY, USA +1

  47. How Low Can You Go? Active Learning for Sparse Model Discovery in the Ultra-Low-Data Limit

    Jun 10, 2026Ana Larrañaga, Urban Fasel, Steven L. BruntonSystem IdentificationActive Learning

    Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, United States · NSF AI Institute in Dynamic Systems, University of Washington, Seattle, WA 98195, United States · Department of Aeronautics, Imperial College London, SW7 2AZ, United Kingdom

  48. Inverse design of bespoke interatomic potentials via active learning by information-matching

    Jun 6, 2026Yonatan Kurniawan, Logan D. Williams, Amit Samanta +6Interatomic PotentialsMolecular Dynamics

    Department of Physics and Astronomy, Brigham Young University, Provo, UT, USA · Department of Physics and Astronomy, Brigham Young University, Provo, UT, USA. · Lawrence Livermore National Laboratory, Livermore, CA, USA +7

  49. Activation-Based Active Learning for In-Context Learning: Challenges and Insights

    Jun 3, 2026Yaseen M. Osman, Geoff V. Merrett, Stuart E. MiddletonIn-Context LearningModel Activations

    School of Electronics and Computer Science, University of Southampton, United Kingdom

  50. ALINC: Active Learning for Inductive Node Classification via Graph Sampling

    Jun 3, 2026Pascal Plettenberg, Denis Huseljic, André Alcalde +2Graph Representation LearningActive Learning

    Intelligent Embedded Systems, University of Kassel, 34121 Kassel, Germany · CELUS GmbH, 80339 Munich, Germany · GAIN Group, Institute of Data Science, University of Greifswald, 17489 Greifswald, Germany

  51. Stein Kernelized Molecular Dynamics for Active Learning of Interatomic Potentials

    Jun 2, 2026Joanna Zou, Fraser Birks, Dallas Foster +1Interatomic PotentialsMolecular Dynamics

    Center for Computational Science & Engineering, Schwarzman College of Computing, MIT · Warwick Centre for Predictive Modelling, School of Engineering, University of Warwick · NVIDIA

  52. Finding Needles in the Haystack: Transductive Active Labeling in Ecology

    Jun 2, 2026Rupa Kurinchi-Vendhan, Sara BeeryActive LearningTransductive Learning

    Massachusetts Institute of Technology, Cambridge MA 02139, USA

  53. PALTO: Physics-Informed Active Learning for Tri-Gate FinFET Design Optimization for Vertical Power Delivery

    May 31, 2026Ayoub Sadeghi, Leonid Popryho, Inna Partin-VaisbandField-Programmable Gate ArraysActive Learning

    University of Illinois Chicago Chicago, USA

  54. Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance

    May 30, 2026Jiancheng Zhang, Meiqing Li, Qi Zhang +1Pool-Based Active LearningActive Learning

    University of California, Riverside · 2Carnegie Mellon University · 3Worcester Polytechnic Institute

  55. Distributed GNEP Algorithms without Multiplier Sharing and Applications to Multi-Robot Coordination and Contextual Bandit-Based Active Learning

    May 30, 2026Shao-An YinNash EquilibriumActive Learning

    UNIVERSITY OF MINNESOTA

  56. User-Aware Active Knowledge Acquisition for Emotional Support Dialogue

    May 28, 2026Mufan Xu, Kehai Chen, Jiahao Hu +4Emotional Support Conversation TaskPool-Based Active Learning

    Harbin Institute of Technology, China · Baidu Inc., Beijing, China

  57. Active Query Synthesis for Preference Learning

    May 25, 2026Namrata Nadagouda, Nauman Ahad, Maegan Tucker +1Preference LearningPool-Based Active Learning

    Georgia Institute of Technology · Gauss Labs

  58. Active Learning for Stochastic Contextual Linear Bandits

    May 24, 2026Emma Brunskill, Ishani Karmarkar, Zhaoqi LiContextual Bandit FrameworkActive Learning

    Stanford University

  59. Balancing Uncertainty and Diversity of Samples: Leveraging Diversity of Least, High Confidence Samples for Effective Active Learning

    May 21, 2026Vipul Arya, S. H. Shabbeer Basha, Srikrishna U N +2Pool-Based Active LearningActive Learning

    School of Computer Science and Engineering, RV University, Bengaluru, Karnataka-560059, India · School of Engineering & Technology, Vidyashilp University, Bangalore, India · Shiv Nadar Institution of Eminence, Delhi NCR

  60. Data-Efficient Neural Operator Training via Physics-Based Active Learning

    May 20, 2026Alicja Polanska, Lorenzo Zanisi, Vignesh Gopakumar +1Neural OperatorsPhysics-Informed Learning

    University College London · United Kingdom Atomic Energy Authority