Paper

  • Exploring Token Pruning in Vision State Space Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring Token Pruning in Vision State Space Models

    Yifan Gong, Stratis Ioannidis, Zhenglun Kong, Zichong Meng, Wei Niu, Xuan Shen, Yanzhi Wang, Yushu Wu, Zheng Zhan, Pu Zhao, Hangyu Zheng p50952-50971 from Advances in Neural Information Processing Systems 37
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  • Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations

    Diane Bouchacourt, Laura Gustafson, Melissa Hall, Caner Hazirbas, Mark Ibrahim, Megan Richards p24729-24753 from Advances in Neural Information Processing Systems 36
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  • eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling

    Matthew Dowling, Il Park, Yuan Zhao p13458-13488 from Advances in Neural Information Processing Systems 37
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  • Exponential Family Model-Based Reinforcement Learning Via Score Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exponential Family Model-Based Reinforcement Learning Via Score Matching

    Anmol Kabra, Gene Li, Junbo Li, Nati Srebro, Zhaoran Wang, Zhuoran Yang p28474-28487 from Advances in Neural Information Processing Systems 35
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  • Exponential Lower Bounds for Fictitious Play in Potential Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exponential Lower Bounds for Fictitious Play in Potential Games

    Volkan Cevher, Ioannis Panageas, Nikolas Patris, Stratis Skoulakis p32401-32423 from Advances in Neural Information Processing Systems 36
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  • Exponential Quantum Communication Advantage in Distributed Inference and Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exponential Quantum Communication Advantage in Distributed Inference and Learning

    Dar Gilboa, Jarrod McClean, Hagay Michaeli, Daniel Soudry p30425-30473 from Advances in Neural Information Processing Systems 37
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  • Exponential Separations in Symmetric Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exponential Separations in Symmetric Neural Networks

    Joan Bruna, Aaron Zweig p33134-33145 from Advances in Neural Information Processing Systems 35
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  • Exponentially Convergent Algorithms for Supervised Matrix Factorization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exponentially Convergent Algorithms for Supervised Matrix Factorization

    Joowon Lee, Hanbaek Lyu, Weixin Yao p76947-76959 from Advances in Neural Information Processing Systems 36
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  • Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks

    Anders Aamand, Justin Chen, Piotr Indyk, Shyam Narayanan, Ronitt Rubinfeld, Nicholas Schiefer, Sandeep Silwal, Tal Wagner p27333-27346 from Advances in Neural Information Processing Systems 35
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  • Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training

    Lihan Hu, Peng Jiang, Shihui Song p38345-38357 from Advances in Neural Information Processing Systems 35
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  • Exposing Attention Glitches with Flip-Flop Language Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exposing Attention Glitches with Flip-Flop Language Modeling

    Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Bingbin Liu, Cyril Zhang p25549-25583 from Advances in Neural Information Processing Systems 36
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  • Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

    Anthony Caterini, Jesse Cresswell, Rasa Hosseinzadeh, Zhaoyan Liu, Gabriel Loaiza-Ganem, Brendan Ross, George Stein, Yi Sui, Eric Taylor, Valentin Villecroze p3732-3784 from Advances in Neural Information Processing Systems 36
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