Paper

  • Piecewise-Stationary Bandits with Knapsacks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Piecewise-Stationary Bandits with Knapsacks

    Xilin Zhang, Cheung Wang p56001-56040 from Advances in Neural Information Processing Systems 37
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  • Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

    Peter Henderson, Mark Krass, Lucia Zheng, Neel Guha, Christopher D Manning, Dan Jurafsky, Daniel Ho p29217-29234 from Advances in Neural Information Processing Systems 35
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  • PILOT PROJECT: MODULAR CONSTRUCTION WITH SECONDARY MATERIALS IN A CIRCULAR ECONOMY

    World Conference on Timber Engineering 2025

    PILOT PROJECT: MODULAR CONSTRUCTION WITH SECONDARY MATERIALS IN A CIRCULAR ECONOMY

    Colin M. Rose, Jonas Breidenbach, Patrick Quinn, Julia A. Stegemann p3789-3798 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Piloting Case-Based Instruction in Immunology Course for Enhancing of Cognitive Learning

    Research In Engineering Education Network

    Piloting Case-Based Instruction in Immunology Course for Enhancing of Cognitive Learning

    Shivalingsarj Desai, Preeti Patil, Sharanappa Achappa, Basavaraj Hungund p136-140 from 10th Research in Engineering Education Symposium (REES 2024)
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  • Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction

    Liang Wang, Qiang Liu, Shaozhen Liu, Xin Sun, Shu Wu, Liang Wang p70765-70792 from Advances in Neural Information Processing Systems 37
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  • PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

    Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu p76721-76774 from Advances in Neural Information Processing Systems 37
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  • Pipeline Parallelism with Controllable Memory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pipeline Parallelism with Controllable Memory

    Penghui Qi, Xinyi Wan, Nyamdavaa Amar, Min Lin p46539-46566 from Advances in Neural Information Processing Systems 37
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  • PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

    Fanxu Meng, Zhaohui Wang, Muhan Zhang p121038-121072 from Advances in Neural Information Processing Systems 37
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  • PISTON COMPRESSOR PERFORMANCE WITH TERNARY MIXTURES: MACHINE LEARNING SURROGATE MODELS

    ECOS 2024

    PISTON COMPRESSOR PERFORMANCE WITH TERNARY MIXTURES: MACHINE LEARNING SURROGATE MODELS

    Alexandra Welp, Ilyas Adaköy, Burak Atakan p335-346 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion

    Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee p56802-56824 from Advances in Neural Information Processing Systems 36
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  • Pitfalls of Epistemic Uncertainty Quantification Through Loss Minimisation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pitfalls of Epistemic Uncertainty Quantification Through Loss Minimisation

    Viktor Bengs, Eyke Hüllermeier, Willem Waegeman p29205-29216 from Advances in Neural Information Processing Systems 35
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  • PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation

    Kaidong Zhang, Pengzhen Ren, Bingqian Lin, Junfan Lin, Shikui Ma, Hang Xu, Xiaodan Liang p54105-54136 from Advances in Neural Information Processing Systems 37
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