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2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

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  1. Rethinking Radiomap Blind Prediction with Limited Environment and Configuration Representations

    Sep 10, 2026Xiaojie Li, Yu Han, Han Fang +3Radio Map EstimationLong-Run Coverage Guarantees

    School of Information Science and Engineering, Southeast University, Nanjing 210096, China · National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China · School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China +2

  2. Leveraging Visual and Geometric Priors for Metric-scale and Complete Vehicle Gaussian Reconstruction from Limited Views

    Sep 8, 2026Jinyu Miao, Jiusi Li, Yifei He +4Geometric Priors3D Gaussian

    School of Vehicle and Mobility and the State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing, China

  3. Rock, Paper, Scissors, ... Dynamite - A Model of Disruption from New Technologies

    Aug 31, 2026Andrew J. LohnTechnologyCompetition

    Center for Security and Emerging Technology, Georgetown University Washington, DC, USA

  4. Provably Safe Decentralized Contingency MPC under State-Only Information and Limited Sensing for Nonlinear Multi-agent Systems

    Aug 31, 2026Max Studt, Georg SchildbachArtificial Intelligence ControlModel-Based Multi-Agent Systems

    Institute for Electrical Engineering in Medicine of the University of Luebeck, Germany

  5. A Controlled Study of Self-Supervised Image and Video Pretraining under Limited Resources

    Aug 13, 2026Brunó B. Englert, Gijs DubbelmanSelf-Supervised LearningVision Foundation Models

    Eindhoven University of Technology

  6. Improving Low-Resolution Face Recognition under Limited Data: How Synthetic Data Generation Can Close the Domain Gap

    Aug 6, 2026Luis S. Luevano, Ünsal Öztürk, Hatef Otroshi Shahreza +2Synthetic-To-Real Domain GapFace Recognition Model

    Idiap Research Institute, Switzerland

  7. Large Language Models for Low-Resource Languages: A Conceptual Framework for an Electronic Explanatory Dictionary of the Tajik Language

    Aug 4, 2026Mullosharaf K. Arabov, Saidali M. Pirzoda, Behruz A. SultonovLow-Resource LanguagesUnsupervised Dictionary Learning

    Kazan Federal University, Institute of Computational Mathematics and Information Technologies, Kazan, Russia · Tajik National University, Department of Information and Communication Technologies, Faculty of Mechanics and Mathematics, Dushanbe, Tajikistan

  8. Computing Actual Causes for Neural Network Predictions under Structured Causal Inputs

    Aug 4, 2026Jannick Strobel, Muqsit Azeem, Stefan LeueLocal Causal StructuresExplainable AI Methods

    University of Konstanz

  9. BladeYOLO: Wind Turbine Blade Defect Detection with Limited Annotations and Weak-Saliency Awareness

    Jul 30, 2026Yabin Xu, Fangtao Zhang, Fan Wang +5Defect DetectionYolo26

    School of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China · Department of Artificial Intelligence and Robotics, Zhejiang Energy Digital Technology Co., Ltd, Hangzhou 311100, China · School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China +1

  10. Latent PDE mapping for efficient physics-informed learning across geometries with limited data

    Jul 24, 2026Ingvild Askim Adde, Mary M. Maleckar, Gabriel BalabanParametric Physics-Informed Neural NetworkPartial Differential Equations

    Faculty of Health and Technology, Kristiania University of Applied Sciences, Oslo, Norway · Department of Computational Physiology, Simula Research Laboratory, Oslo, Norway

  11. Addressing Limited Data in Auditory Attention Decoding with Diffusion Generative Models

    Jul 20, 2026David Rannaleet, Victor Gunnarsson, Bo Bernhardsson +2Auditory AttentionSmall-Sample Electroencephalogram Datasets

    Department of Automatic Control, Lund University, Lund, Sweden. · Eriksholm Research Centre, Snekkersten, Denmark. · Department of Electrical Engineering, Linköping University, Linköping, Sweden.

  12. A Large-Scale Measurement of AI Bill of Materials Completeness in Hugging Face Models

    Jul 19, 2026Md Erfan, Ahmed Ryan, Md Rayhanur RahmanArtificial Intelligence ModelsLarge Language Model Reliability

    Department of Computer Science, The University of Alabama, Tuscaloosa, USA

  13. 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

  14. From Non-Rigid to Rigid: Safe Acquisition of Rigid Communication Graphs under Limited Sensing

    Jul 11, 2026Saharsh, Vedhas Talnikar, Pushpak JagtapMulti-Robot SystemsOptimistic Follow-The-Regularized-Leader

    Department of Cyber Physical Systems · Indian Institute of Science · Bengaluru, 560012, India

  15. Sampling on Random Subspaces under Limited Data in the Context of Exploratory Landscape Analysis

    Jul 8, 2026Iván Olarte Rodríguez, Anja Jankovic, Thomas Bäck +1Optimization LandscapeOptimal Design

    Leiden Institute of Advanced Computer Science (LIACS), Leiden University, The Netherlands · RWTH Aachen University, Germany

  16. Sequential Fairness Auditing with Limited Output Access

    Jun 29, 2026Ioannis Pitsiorlas, Martha V. Sourla, Marios KountourisFairness AuditsAlgorithmic Fairness

    EURECOM, France · DaSCI, University of Granada, Spain

  17. Domain Adaptation with Adaptive Imagination for Visual Reinforcement Learning under Limited Target Data

    Jun 29, 2026Hyunwoo Park, Sang-Hyun LeeSim-To-Real Reinforcement LearningDomain Adaptation

    Department of Mobility Engineering, Ajou University, Suwon, Republic of Korea

  18. RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data

    Jun 26, 2026Xuan Zhao, Lena Krieger, Zhuo Cao +3Fairness AuditsCounterfactual Explanation

    IAS-8, Forschungszentrum Jülich, Germany · LMU Munich, Munich Center for Machine Learning (MCML), Germany · Department of Computer Science, Aarhus University, Denmark

  19. An LLM-based Two-Stage Transformer Framework for Cross-Domain Bearing Fault Diagnosis with Limited Data

    Jun 23, 2026Jinghan Wang, Feng Cheng, Wentao Wu +3Fault DiagnosisPredictive Maintenance

    School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China

  20. MindAlign: Decoding Inner Speech from fMRI Signals via Multimodal Embedding Alignment under Limited Data

    Jun 15, 2026Muxuan Liu, Ichiro Kobayashi, Satoshi NishidaBrain AlignmentLimited Data

    Graduate School of Humanities and Sciences Ochanomizu University · Center for Information and Neural Networks Advanced ICT Research Institute National Institute of Information and Communications Technology

  21. Comprehensive pKa Data Augmentation from Limited Real Data through an Engineered Models-Quantum Framework

    Jun 10, 2026Wang Rui, Liu DinghaoMolecular GenerationAugmentation

    Department of Chemistry, Tsinghua University, Beijing 100084, P. R. China · Department of Chemical Engineering, Tsinghua University, Beijing 100084, P. R. China · School of Science, China Pharmaceutical University, Nanjing 211198, P. R. China

  22. Making the Most of Limited Data: Score-Aware Training for Text-to-Music Generation

    Jun 5, 2026Yun-Chen Cheng, Tzu-Hung Huang, Chih-Pin TanText-To-MusicLimited Data

    Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan

  23. MEMENTO: Leveraging Web as a Learning Signal for Low-Data Domains

    May 28, 2026Ashutosh Ojha, Vinay Aggarwal, Ashutosh Srivastava +3WebFew-Shot Learning

    Adobe, Media & Data Science Research Lab

  24. Conformalised imprecise inference for robust extrapolation under limited data

    May 25, 2026Yu Chen, Scott FersonConformal InferenceUncertainty Quantification

    Institute for Risk and Uncertainty · University of Liverpool · Liverpool

  25. Large Language Model Selection with Limited Annotations

    May 24, 2026Yavuz Durmazkeser, Patrik Okanovic, Andreas Kirsch +2Large Language Models(LlmsEvaluation Metrics

    TU Delft · ETH Zurich

  26. Learning Relative Representations for Fine-Grained Multimodal Alignment with Limited Data

    May 16, 2026Shiwon Kim, Yu Rang ParkMultimodal AlignmentMultimodal Pretraining

    Yonsei University

  27. Greedy or not, here I come: Language production under vocabulary constraints in humans and resource-rational models

    May 14, 2026Thomas Hikaru Clark, Sihan Chen, Laura NicolaeLinguisticsGreedy Algorithm

    Department of Brain and Cognitive Sciences, MIT · Department of Economics, Harvard University

  28. Identifying Culprits Through Deep Deterministic Policy Gradient Deep Learning Investigation

    May 14, 2026Lata B T, Savitha N JViolence DetectionDeep Learning

    Dept. of CSE, UVCE, Bengaluru, India.

  29. Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study

    May 13, 2026Wuao Liu, Mustafa Chasmai, Subhransu Maji +1Passive Acoustic Monitoring3D Masked Autoencoders

    University of Massachusetts Amherst

  30. RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data

    May 13, 2026Harold Haodong Chen, Sirui Chen, Yingjie Xu +2Robotic ManipulationRobocasa

    1The Hong Kong University of Science and Technology (Guangzhou) · 2The Hong Kong University of Science and Technology

  31. Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling

    May 12, 2026Eilam Shapira, Moshe Tennenholtz, Roi ReichartNegotiationArtificial Intelligence Agents

    Faculty of Data and Decision Sciences Technion – Israel Institute of Technology Haifa, Israel

  32. Spectral Vision Transformer for Efficient Tokenization with Limited Data

    May 12, 2026Alexandra G. Roberts, Maneesh John, Jinwei Zhang +10Self-Supervised Vision TransformersVision Transformer

  33. Constraint-Data-Value-Maximization: Utilizing Data Attribution for Effective Data Pruning in Low-Data Environments

    May 11, 2026Danilo Brajovic, David A. Kreplin, Marco F. HuberAlignment-Aware SelectionLimited Data

    Fraunhofer IPA, Stuttgart, Germany · Institute of Industrial Manufacturing and Engineering IFF, University of Stuttgart, Germany · Hochschule Heilbronn, Germany

  34. ReAD: Reinforcement-Guided Capability Distillation for Large Language Models

    May 11, 2026Xueqi Cheng, Xugui Zhou, Tyler Derr +1Few-Step DistillationLimited Data

    Florida State University · Louisiana State University · Vanderbilt University

  35. Interpretable Machine Learning for Football Performance Analysis: Evidence of Limited Transferability from Elite Leagues to University Competition

    May 11, 2026Yu-Fang Tsai, Yu-Jen Chen, Kok-Hua Tan +5InterpretabilityLimited Data

    Department of Kinesiology, National Tsing Hua University, Hsinchu, Taiwan · Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan · Physical Education Office, National Tsing Hua University, Hsinchu, Taiwan +4

  36. Evaluation Awareness in Language Models Has Limited Effect on Behaviour

    May 7, 2026Amelie Knecht, Lucas Florin, Thilo HagendorffLarge Language Model EvaluationAgent Behavior Modeling

    University of Stuttgart

  37. Stable Behavior, Limited Variation: Persona Validity in LLM Agents for Urban Sentiment Perception

    Apr 30, 2026Neemias B da Silva, Rodrigo Minetto, Daniel Silver +1Artificial Intelligence PersonasPersona Consistency

    Universidade Tecnol´ogica Federal do Paran´a (UTFPR), Curitiba, Brazil · University of Toronto, Toronto, Canada

  38. A Dual-Task Paradigm to Investigate Sentence Comprehension Strategies in Language Models

    Apr 29, 2026Rei Emura, Saku SugawaraLLM Reasoning StrategiesLimited Data

    Tohoku University · National Institute of Informatics · The University of Tokyo

  39. Geometry-Guided Self-Supervision for Ultra-Fine-Grained Recognition with Limited Data

    Apr 21, 2026Shijie Wang, Yadan Luo, Zijian Wang +3Fine-Grained PerceptionSelf-Supervised Learning

    College of Computer Science and Engineering, Shandong University of Science and Technology, China · School of Information Technology and Electrical Engineering, The University of Queensland, Australia

  40. Divide-and-Conquer Approach to Holistic Cognition in High-Similarity Contexts with Limited Data

    Apr 21, 2026Shijie Wang, Zijian Wang, Yadan Luo +3Fine-Grained PerceptionContours

    Shandong University of Science and Technology, China · The University of Queensland, Australia

  41. Large Language Model Selection with Limited Annotations

    Oct 10, 2025Yavuz Durmazkeser, Patrik Okanovic, Andreas Kirsch +2Large Language Models(LlmsEvaluation Metrics

    TU Delft · ETH Zurich

  42. Few-Shot Synthetic Image Attribution: Identifying Unseen Generators with Limited Samples

    Sep 30, 2025Shiyu Wu, Shuyan Li, Jing Li +2Synthetic Image DetectionAi-Generated Image Detection

    Institute of Automation, Chinese Academy of Sciences, Beijing, China · Beijing Academy of Artificial Intelligence, Beijing, China · University of Chinese Academy of Sciences, Beijing, China +3

  43. FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data

    Aug 6, 2025Thibaut Thonet, Germán Kruszewski, Jos Rozen +2Large Language Model PersonalizationPreference Alignment

    1NAVER Labs Europe · 2Independent Researcher

  44. Prior Reinforce: Goal-Conditioned Dynamic Manipulation with Limited Trials

    May 28, 2025Yihang Hu, Pingyue Sheng, Yuyang Liu +2Scalable Robot LearningGoal-Conditioned Dynamic Manipulation

    IIIS, Tsinghua University. · Shanghai Qi Zhi Institute. · Spirit AI.

  45. From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification

    Mar 15, 2025Yan Jiang, Hao Yu, Xu Cheng +3Re-IdentificationVideo Surveillance

    Center for Machine Vision and Signal Analysis, University of Oulu, Oulu FI-90014, Finland · School of Computer Science, Nanjing University of Information Science and Technology, Nanjing 210044, China

  46. Are We Really Doing Few-Shot Learning? A Critical Examination of Pre-Training Assumptions

    Date pendingAlejandro Galan-Cuenca, Marcelo Saval-Calvo, Antonio Javier GallegoFew-Shot LearningTarget Domain

    University Institute for Computer Research, University of Alicante, Alicante, Spain