Pool-Based Active Learning

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5 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

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  1. RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings

    Apr 22, 2026Wei Han, David Martinez, Anna Khanina +2Pool-Based Active LearningImbalanced Classification

    School of Computing Technologies, RMIT University · Department of Infectious Disease, Peter MacCallum Cancer Centre · 3National Centre for Infections in Cancer, Melbourne +2

  2. Energy-Based Open-Set Active Learning for Object Classification

    Apr 22, 2026Zongyao Lyu, William J. BeksiPool-Based Active LearningActive Learning

    The University of Texas at Arlington, Arlington TX 76019, USA

  3. Human-Machine Co-Boosted Bug Report Identification with Mutualistic Neural Active Learning

    Apr 20, 2026Guoming Long, Shihai Wang, Hui Fang +1BugPool-Based Active Learning

    University of Electronic Science and Technology of China, Chengdu, China · Loughborough University, Loughborough, United Kingdom · IDEAS Lab, University of Birmingham, Birmingham, United Kingdom

  4. Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval

    Apr 20, 2026Junyoung Kim, Anton Korikov, Jiazhou Liang +5Retrieval LayerRelevance

    Sungkyunkwan University, Republic of Korea · University of Toronto, Canada

  5. Boundary-Centric Clip-Budgeted Active Learning for Temporal Action Segmentation

    Apr 16, 2026Halil Ismail Helvaci, Sen-ching Samson CheungTemporal Action SegmentationPool-Based Active Learning

    Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY, USA

  6. Correcting Boundary Bias and Observation Independence in Bayesian Experimental Design

    Feb 2, 2026Sanna Jarl, Jens Sjölund, Jonathan J. S. Scragg +1Bayesian Experimental DesignGaussian Process

    Department of Material Science & Engineering Uppsala University RISE · Department of Information Technology Uppsala University · RISE

  7. Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification

    Sep 29, 2025Yinghao Jin, Xi YangPool-Based Active LearningActive Learning

    Jilin University, China

  8. AYLA: Architecting a loss landscape in shallow neural networks to accelerate feature recovery

    Apr 2, 2025Behnam Gheshlaghi, Shahin AtakishiyevAnisotropic Loss LandscapesFeature Learning

  9. Active Learning with Bayesian Multi-Fidelity Laplace Neural Operators for Oscillatory Parametric PDEs

    Feb 1, 2025Bongseok Kim, Haoyang Zheng, Michael Penwarden +1Fourier Neural OperatorsNeural Operators

    School of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, 47907, IN, USA. · Department of Mathematics, Purdue University, 150 North University Street, West Lafayette, 47907, IN, USA.

  10. RAIDAL: Redundancy-Aware Information Density Active Learning for CTC-Based Continuous Sign Language Recognition

    Date pendingRafael A. Diniz Augusto, Gabriel L. Oliveira, Erickson R. NascimentoSign Language TranslationPool-Based Active Learning

    Universidade Federal de Minas Gerais Belo Horizonte, Minas Gerais, Brazil · University of Bristol Bristol, UK