Paper

  • Induced Model Matching: Restricted Models Help Train Full-Featured Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Induced Model Matching: Restricted Models Help Train Full-Featured Models

    Usama Muneeb, Mesrob Ohannessian p62617-62647 from Advances in Neural Information Processing Systems 37
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  • Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse

    Jack Lindsey, Samuel Lippl p118745-118776 from Advances in Neural Information Processing Systems 37
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  • INDUSTRIAL APPLICATION OF AGRICULTURAL WASTES

    Southern African Institute for Industrial Engineering (SAIIE)

    INDUSTRIAL APPLICATION OF AGRICULTURAL WASTES

    O. Awogbemi, D.V.V. Kallon p962-978 from 33rd Annual Southern African Institute for Industrial Engineering Conference (SAIIE33)
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  • Industrial Correlation Evolution of Textile Industry in Sichuan Province Based on an Input-output Model

    Textile Bioengineering and Informatics Society Limited (TBIS)

    Industrial Correlation Evolution of Textile Industry in Sichuan Province Based on an Input-output Model

    Guang-Yun Shao, Gang Fang, Xiao Xiang, Tao Wang p93-100 from 17th Textile Bioengineering and Informatics Symposium Proceedings (TBIS 2024)
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  • Industrial Hemp Forage Potential

    International Grassland Congress 2023

    Industrial Hemp Forage Potential

    S. Podder, J. Fike, B. Wilson p800-803 from XXV International Grassland Congress (IGC 2023)
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  • INDUSTRIAL POLICY IS A KEY DRIVER OF LOCAL CONTENT IN SOUTH AFRICA'S AUTOMOTIVE INDUSTRY.

    Southern African Institute for Industrial Engineering (SAIIE)

    INDUSTRIAL POLICY IS A KEY DRIVER OF LOCAL CONTENT IN SOUTH AFRICA'S AUTOMOTIVE INDUSTRY.

    T. Mokgokong p342-359 from 34th Southern African Institute for Industrial Engineering Conference 2024 (SAIIE34)
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  • Industrial Process Data Augmentation Method Based on BC-WGAN

    Aussino Academic Publishing House (AAPH)

    Industrial Process Data Augmentation Method Based on BC-WGAN

    Zhiwei Chen p538-543 from 13th International Conference on Logistics and Systems Engineering 2024
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  • INDUSTRIAL PROCESS STEAM GENERATION FROM DEEP GEOTHERMAL RESERVOIRS

    ECOS 2024

    INDUSTRIAL PROCESS STEAM GENERATION FROM DEEP GEOTHERMAL RESERVOIRS

    Sven Klute, Marcus Budt, Mathias van Beek p323-334 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • INDUSTRIAL ROBOTS FOR GLT MACHINING: BASICS AND BEYOND

    World Conference on Timber Engineering 2025

    INDUSTRIAL ROBOTS FOR GLT MACHINING: BASICS AND BEYOND

    Marc Pantscharowitsch, Benjamin Kromoser p1732-1741 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Industrializing the Earth-Moon System - The Role of Space Mining and Material Processing for Human Civilization on Earth and in Space

    International Astronautical Federation (IAF)

    Industrializing the Earth-Moon System - The Role of Space Mining and Material Processing for Human Civilization on Earth and in Space

    Werner Grandl, Adriano V. Autino p369-373 from 22nd IAA Symposium on Visions and Strategies for the Future
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  • INDUSTRY 5.0 CONCEPTS & COMPONENTS: A SCOPING LITERATURE REVIEW

    Southern African Institute for Industrial Engineering (SAIIE)

    INDUSTRY 5.0 CONCEPTS & COMPONENTS: A SCOPING LITERATURE REVIEW

    W.E. Müller, L. Van Dyk p977-991 from 34th Southern African Institute for Industrial Engineering Conference 2024 (SAIIE34)
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  • Industry and Education Integration in Higher Vocational Clothing Programs: A Review and Case Study

    Textile Bioengineering and Informatics Society Limited (TBIS)

    Industry and Education Integration in Higher Vocational Clothing Programs: A Review and Case Study

    Ya-Qi Tao, Wan-Yi He p1047-1053 from 18th Textile Bioengineering and Informatics Symposium Proceedings (TBIS 2025)
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