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  • How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks

    Rong Ge, Mo Zhou p46481-46538 from Advances in Neural Information Processing Systems 37
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  • How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach

    Filippo Lazzati, Alberto Maria Metelli, Mirco Mutti p54820-54871 from Advances in Neural Information Processing Systems 37
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  • How Does Message Passing Improve Collaborative Filtering?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Does Message Passing Improve Collaborative Filtering?

    Zhichun Guo, Clark Ju, Yozen Liu, Neil Shah, William Shiao, Yanfang Ye, Tong Zhao p8760-8784 from Advances in Neural Information Processing Systems 37
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  • How does PDE order affect the convergence of PINNs?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How does PDE order affect the convergence of PINNs?

    Myungjoo Kang, Yesom Park, Changhoon Song p73-131 from Advances in Neural Information Processing Systems 37
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  • How Does Variance Shape the Regret in Contextual Bandits?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Does Variance Shape the Regret in Contextual Bandits?

    Zeyu Jia, Jian Qian, Alexander Rakhlin, Chen-Yu Wei p83730-83785 from Advances in Neural Information Processing Systems 37
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  • How EO Open Data Programs Developed by New Space Companies Are Shaping the Future of the Earth Observation Industry

    International Astronautical Federation (IAF)

    How EO Open Data Programs Developed by New Space Companies Are Shaping the Future of the Earth Observation Industry

    Miriam Gonzalez p44-45 from IAF Earth Observation Symposium
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  • How External Pressures Influence the Formation of Cross-Cultural Conflicts in International Engineering Projects - An Analysis Based on Grounded Theory

    Aussino Academic Publishing House (AAPH)

    How External Pressures Influence the Formation of Cross-Cultural Conflicts in International Engineering Projects - An Analysis Based on Grounded Theory

    Kaishu CUI, Yuli LIU, Shijun QU p79-87 from 13th International Symposium on Project Management (ISPM2025)
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  • How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

    Iz Beltagy, Khyathi Chandu, Pradeep Dasigi, Hannaneh Hajishirzi, Jack Hessel, Hamish Ivison, Tushar Khot, Kelsey Macmillan, Noah Smith, David Wadden, Yizhong Wang p74764-74786 from Advances in Neural Information Processing Systems 36
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  • How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad

    Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Colin Sandon, Omid Saremi p27850-27895 from Advances in Neural Information Processing Systems 37
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  • How Far Should the UK Go with Negative Emission Technologies?

    ECOS 2023

    How Far Should the UK Go with Negative Emission Technologies?

    Semra Bakkaloglu, Matthias Mersch, Nixon Sunny, Christos Markides, Nilay Shah, Adam Hawkes p2939-2949 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • How hard are computer vision datasets? Calibrating dataset difficulty to viewing time

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How hard are computer vision datasets? Calibrating dataset difficulty to viewing time

    Andrei Barbu, Jesse Cummings, Dan Gutfreund, Boris Katz, Xinyu Lin, David Mayo p11008-11036 from Advances in Neural Information Processing Systems 36
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  • How Hard Are Your Hard Spots? A Deep-Dive into the Subjective Nature of Hardness Measurements

    Clarion Technical Conferences

    How Hard Are Your Hard Spots? A Deep-Dive into the Subjective Nature of Hardness Measurements

    Debartha Bag, Emmanuel Valencia, Atul Ganpatye p1239-1242 from 37th International Pipeline Pigging and Integrity Management Conference (PPIM 2025)
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