Paper

  • Navigating the Effect of Parametrization for Dimensionality Reduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Navigating the Effect of Parametrization for Dimensionality Reduction

    Haiyang Huang, Cynthia Rudin, Yingfan Wang p12977-13019 from Advances in Neural Information Processing Systems 37
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  • Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics

    Till Bungert, Mennatallah El-Assady, Paul Jäger, Lukas Klein, Carsten Lüth, Udo Schlegel p67106-67146 from Advances in Neural Information Processing Systems 37
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  • Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment

    Till Bungert, Paul Jaeger, Lukas Klein, Carsten Lüth p9789-9836 from Advances in Neural Information Processing Systems 36
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  • Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models

    Duen Chau, Pin-Yu Chen, Matthew Hull, Sheng Peng p95692-95715 from Advances in Neural Information Processing Systems 37
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  • NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

    Kashyap Chitta, Daniel Dauner, Andreas Geiger, Igor Gilitschenski, Marcel Hallgarten, Zhiyu Huang, Boris Ivanovic, Hongyang Li, Tianyu Li, Marco Pavone, Xinshuo Weng, Zetong Yang p28706-28719 from Advances in Neural Information Processing Systems 37
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  • NCDL:  A Framework for Deep Learning on non-Cartesian Lattices

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NCDL: A Framework for Deep Learning on non-Cartesian Lattices

    Usman Alim, Joshua Horacsek p79363-79375 from Advances in Neural Information Processing Systems 36
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  • NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching

    Souhaib Attaiki, Maks Ovsjanikov p28842-28857 from Advances in Neural Information Processing Systems 35
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  • Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs

    Aymen Al Marjani, Emilie Kaufmann, Andrea Tirinzoni p8785-8798 from Advances in Neural Information Processing Systems 35
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  • Near Optimal Reconstruction of Spherical Harmonic Expansions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near Optimal Reconstruction of Spherical Harmonic Expansions

    Haim Avron, Insu Han, Amir Zandieh p23968-23989 from Advances in Neural Information Processing Systems 36
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  • Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings

    Qijia Jiang p10191-10202 from Advances in Neural Information Processing Systems 35
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  • Near-Linear Time Algorithm for the Chamfer Distance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Linear Time Algorithm for the Chamfer Distance

    Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram, Sandeep Silwal, Erik Waingarten p66833-66844 from Advances in Neural Information Processing Systems 36
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  • Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model

    Will Dabney, Clare Lyle, Rémi Munos, Mark Rowland, Yunhao Tang, Li Wenliang p132774-132823 from Advances in Neural Information Processing Systems 37
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