Active Learning

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10 papers in the last 28 days · 0.2% of indexed attention

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Period ending 2026-09-21

3 new papers

A weekly snapshot of new work published in Active Learning.

Period ending 2026-09-14

3 new papers

A weekly snapshot of new work published in Active Learning.

Period ending 2026-09-07

4 new papers

A weekly snapshot of new work published in Active Learning.

124 papers

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  1. Online Adaptive Kernel Mixing for Gaussian Process Decision Making

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

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

    Sep 16, 2026Nobuaki Aoki, Hojin Lee, Stefan Sosnowski +1Model Predictive Path IntegralActive Learning

  3. BioDCASE: Active Learning for Bioacoustics

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

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

    Sep 10, 2026Niranjan Srinivas, Debajyoti Ray, Elias NakouziActive LearningReweighting

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

    Sep 9, 2026Benedikt Tscheschner, Eduardo Veas, Marc MasanaActive LearningHeterogeneous Pruning Scores

  6. 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 +11Medical Image SegmentationAnatomical Priors

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

    Aug 31, 2026Prajwal Ananth, Shuwen YueInteratomic PotentialsActive Learning

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

    Aug 31, 2026Junbeom Hong, Seonghoon Yu, Hyung Rok Jung +2Active LearningPseudo-Labeling

  9. Self-Aware Active Learning Enables Continual Improvement in Autonomous Driving

    Aug 30, 2026Dong Hu, Chao Huang, Carman K. M. Lee +1Autonomous DrivingAdaptive Learning

  10. Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity

    Aug 25, 2026Heng Zhang, Haotian Xiang, Konstantinos D. Polyzos +2Bayesian OptimizationHyperparameter Optimization

  11. Coordination on a Budget: Federated Active Learning with Few Labels

    Aug 19, 2026Liam Mohr, Daphna WeinshallActive LearningCandidate Label Distributions

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

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

  13. Local Epistemic Uncertainty Guided Active Sampling for Plug-and-play Diffusive Image Restoration

    Aug 7, 2026Jiaqi Zhang, Zheng Pang, Rongrong Gao +2Image RestorationPixel-Level Prediction

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

    Aug 5, 2026Xiaorong Zeng, Weiqiang Chen, Peng Shi +4Depth EstimationMobilenetv2

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

    Aug 4, 2026Julia Machnio, Mads Nielsen, Mostafa Mehdipour GhaziMedical Image ClassificationActive Learning

  16. One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning

    Aug 4, 2026Ning Zhu, Xiaochuan Ma, Juntao Xu +4Active LearningCold-Start

  17. BRiG-AFA: Bellman Risk-to-Go Learning for Non-Myopic Active Feature Acquisition

    Aug 3, 2026Jiaorong Feng, Qian Li, Ying LiActive LearningFeature Learning

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

    Aug 2, 2026Chansophea Wathanak In, Yi Li, Wai Ming Tai +1Active LearningRegularization Techniques

  19. Uncertainty-guided active learning for surrogate prediction of stream-finishing wear fields

    Aug 1, 2026Anand Kumar, Puli Saikiran, Vineet Dawara +1Accurate Surrogate ModelsActive Learning

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

    Jul 28, 2026Reihaneh Rostami, Brian GoodwinActive LearningHuman Annotators

  21. Unifying Active Learning and Semi-Supervised Learning for Medical Image Segmentation

    Jul 27, 2026Bahram Jafrasteh, Cheng Wan, Heejong Kim +2Medical Image SegmentationSemi-Supervised Learning

  22. TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series

    Jul 20, 2026Gabor Szucs, Samuel Jacsev, Marcell Nemeth +2Active Learning

  23. Foundation-Assisted Active Learning for Object Detection Annotation

    Jul 18, 2026Jinchang Zhang, Arnold Zumbrun, Jing Lin +1Object DetectionActive Learning

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

    Jul 17, 2026Hadrien Crassous, Mohamed Yassine Kabouri, Minahil Raza +2Object DetectionActive Learning

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

    Jul 16, 2026Jakub Paplhám, Willem Waegeman, Eyke Hüllermeier +1Epistemic UncertaintyBayesian

  26. Full-data accuracy with fewer labels for training and fine-tuning machine-learning force fields

    Jul 16, 2026Sheng Bi, Yi-Ze Wang, Jun ChengActive LearningLabel-Free

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

    Jul 15, 2026Shiqi Zhang, Tuomas VirtanenActive LearningSpeech Separation

  28. 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

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

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

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

    Jul 10, 2026Mahsa Vali, Zhilong Weng, Noémie Moreaua +2Computational PathologyLesion Segmentation

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

    Jul 10, 2026Hugo CuiEfficient Influence FunctionEstimators

  32. Optimal Top-kk Identification from Pairwise Comparisons

    Jul 9, 2026Motti Goldberger, Nils RudiOptimal Sample ComplexityTop-K

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

    Jul 7, 2026Stephen MussmannActive LearningEmpirical Risk Minimization

  34. Determinantal point process sampling for bioacoustic active learning

    Jul 7, 2026Hugo Magaldi, Gabriel DubusPassive Acoustic MonitoringActive Learning

  35. Active Learning on Adversarially Corrupted Graphs

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

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

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

  37. Neuron-Aware Active Few-Shot Learning for LLMs

    Jul 2, 2026Zhuowei Chen, Liwei Chen, Christian Schunn +2Few-Shot LearningActive Learning

  38. Ask the Right Comparison:Bias-Aware Bayesian Active Top-kk Ranking with LLM Judges

    Jul 2, 2026Jian Xu, Delu Zeng, John Paisley +1Large Language Model JudgesRanking

  39. 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 CoresetsActive Learning

  40. 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

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

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

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

    Jul 1, 2026Srinath Perera, Hasinthaka Piyumal, Frank Leymann +1RepositoryArtificial Intelligence Systems

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

    Jun 30, 2026Julia Machnio, Mads Nielsen, Mostafa Mehdipour GhaziActive LearningSelf-Supervised Representations

  44. Hybrid Active-Online Learning Framework for Label-Efficient Concept Drift Adaptation in Optical Network Failure Detection

    Jun 29, 2026Yousuf Moiz Ali, Jaroslaw E. Prilepsky, João Pedro +4Learning-Augmented AlgorithmsActive Learning

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

    Jun 27, 2026Aspen Erlandsson Brisebois, Zahed Khatooni, Connor Burbridge +5Epitope PredictionActive Learning

  46. Scene-agnostic ALS boresight self-calibration

    Jun 22, 2026Aurélien Brun, Jan SkaloudLidarGlobal Navigation Satellite System

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

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

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

    Jun 18, 2026Rémi Hattat, Marine Beaumont, Charline Bertholdt +3Medical Image Segmentation3D Semantic Segmentation

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

    Jun 16, 2026Xiwen Huang, Pierre PinsonLearning-Augmented AlgorithmsActive Learning

  50. Uncertainty Quantification of Engineering Structures by Polynomial Chaos Expansion and Multivariate Active Learning

    Jun 15, 2026Qitian Lu, Jafar Jafari-Asl, Panagiotis Spyridis +1Surrogate ModelsReliable Uncertainty Quantification

  51. LOPAL: Local Performance-Aware Active Learning from Imperfect Demonstrations

    Jun 15, 2026Johannes Heidersberger, Shail Jadav, Dongheui LeeScalable Robot LearningHuman-To-Robot Transfer

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

    Jun 15, 2026Tanzila Tabassum, Omer Subasi, Ajay Panyala +5Computational ChemistryMachine Learning

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

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

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

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

  55. 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 +3Synthetic Data AugmentationAugmentation

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

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

  57. ATLAS: Active Theory Learning for Automated Science

    Jun 10, 2026Noémi Éltető, Nathaniel D. Daw, Kimberly L. Stachenfeld +1Active LearningCognitive Science

  58. 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

  59. Robust Active Learning for Few-Shot Example Selection in Text-to-SQL

    Jun 8, 2026Arash PourhabibText-To-SqlActive Learning

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

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