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  1. Can Language Models Learn Typologically Implausible Languages?

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  2. Learning Models and Modalities to Build Data Equity Competencies

    Published in Harvard Data Science Review (2026)
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  3. Mapping the Phase Diagram of the Vicsek Model with Machine Learning

    Published in ArXiv cs.LG Recent Papers (2026)
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  4. Rethinking Agentic Reinforcement Learning In Large Language Models

    Published in ArXiv cs.ET Recent Papers (2026)
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  5. Personal Visual Context Learning in Large Multimodal Models

    Published in ArXiv cs.CV Recent Papers (2026)
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  6. Machine-Learning-Empowered Propagation Measurement and Modeling for an Amphitheater

    Published in IEEE Access (2026)
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  7. Developing metacognition in pre-primary childhood education in Nigeria and Uganda

    Published 2022-07
    Subjects: “…Metacognition || Methods of teaching || Theories of learning ||Models of learning || Education…”
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  8. IMPROVING VISION IMPAIRED USERS ACCESS TO ELECTRONIC RESOURCES IN E-LEARNING ENVIRONMENT WITH MODIFIED ARTIFICIAL NEURAL NETWORK

    Published 2017-05
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  9. DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning

    Published in Journal of Open Source Software (2026)
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  10. Machine Learning Model for Predicting the Performance of Activated Carbon Column for the ...

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  11. Selection of Input Factors and Comparison of Machine Learning Models for Prediction of ...

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  12. Fundamental Limits of Membership Inference Attacks on Machine Learning Models

    Published in JMLR (2026)
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  13. Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning

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  14. skglm: Improving scikit-learn for Regularized Generalized Linear Models

    Published in JMLR (2026)
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  15. Fundamental Limits of Membership Inference Attacks on Machine Learning Models

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  16. skglm: Improving scikit-learn for Regularized Generalized Linear Models

    Published in JMLR (2026)
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  17. Fundamental Limits of Membership Inference Attacks on Machine Learning Models

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  18. skglm: Improving scikit-learn for Regularized Generalized Linear Models

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  19. Physics-informed machine learning modelling of hydrokinetic energy harvester

    Published in Discover Energy (2026)
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  20. Fundamental Limits of Membership Inference Attacks on Machine Learning Models

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