Paper

  • AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator

    Anthony Corso, Sydney Katz, Mykel J Kochenderfer, Elysia Smyers p8076-8091 from Advances in Neural Information Processing Systems 36
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  • Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments

    Wen-Bo Du, Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou p135741-135769 from Advances in Neural Information Processing Systems 37
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  • AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation

    Yuyang Ji, Limin Wang, Gangshan Wu, Zhiyu Zhao, Yuhan Zhu p25561-25591 from Advances in Neural Information Processing Systems 37
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  • Axioms for AI Alignment from Human Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Axioms for AI Alignment from Human Feedback

    Luise Ge, Daniel Halpern, Evi Micha, Ariel Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu p80439-80465 from Advances in Neural Information Processing Systems 37
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  • AZ-Whiteness Test: A Test for Signal Uncorrelation on Spatio-Temporal Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AZ-Whiteness Test: A Test for Signal Uncorrelation on Spatio-Temporal Graphs

    Cesare Alippi, Daniele Zambon p11975-11986 from Advances in Neural Information Processing Systems 35
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  • B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory

    Alessandro Achille, Benjamin Bowman, Yonatan Dukler, Aditya Golatkar, Arjun Seshadri, Yantao Shen, Stefano Soatto, Matthew Trager, Luca Zancato p130433-130462 from Advances in Neural Information Processing Systems 37
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  • B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data

    Shi Pu, Runze You p97523-97561 from Advances in Neural Information Processing Systems 37
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  • B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable

    Shreyash Arya, Moritz Böhle, Sukrut Rao, Bernt Schiele p62756-62786 from Advances in Neural Information Processing Systems 37
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  • BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

    Petr Anokhin, Aydar Bulatov, Mikhail Burtsev, Yuri Kuratov, Ivan Rodkin, Artyom Sorokin, Dmitry Sorokin p106519-106554 from Advances in Neural Information Processing Systems 37
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  • Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation

    Xuxi Chen, Xianzhi Du, Xueqin Huang, Ziyu Jiang, Zhangyang Wang, Denny Zhou p29248-29261 from Advances in Neural Information Processing Systems 35
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  • Back to the Continuous Attractor

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Back to the Continuous Attractor

    Guillermo Martín-Sánchez, Il Park, Ábel Ságodi, Piotr Sokół p66856-66906 from Advances in Neural Information Processing Systems 37
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  • Back-Modality: Leveraging Modal Transformation for Data Augmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Back-Modality: Leveraging Modal Transformation for Data Augmentation

    Zhi Li, Yifan Liu, Yin Zhang p71430-71448 from Advances in Neural Information Processing Systems 36
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