Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces

    Luis Cubillos, Guy Revach, Matthew Mender, Joseph Costello, Hisham Temmar, Aren Hite, Diksha Zutshi, Dylan Wallace, Xiaoyong Ni, Madison Kelberman, Matthew Willsey, Ruud Van Sloun, Nir Shlezinger, Parag Patil, Anne Draelos, Cynthia Chestek p133975-133998 from Advances in Neural Information Processing Systems 37
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  • Exploring the Translation Mechanism of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the Translation Mechanism of Large Language Models

    Hongbin Zhang, Kehai Chen, Xuefeng Bai, Xiucheng Li, Yang Xiang, Min zhang p117958-117998 from Advances in Neural Information Processing Systems 38
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  • Exploring the Whole Rashomon Set of Sparse Decision Trees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the Whole Rashomon Set of Sparse Decision Trees

    Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo Seltzer, Cynthia Rudin p14071-14084 from Advances in Neural Information Processing Systems 35
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  • Exploring Through Random Curiosity with General Value Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring Through Random Curiosity with General Value Functions

    Aditya Ramesh, Louis Kirsch, Sjoerd Van Steenkiste, Jürgen Schmidhuber p18733-18748 from Advances in Neural Information Processing Systems 35
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  • Exploring Token Pruning in Vision State Space Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring Token Pruning in Vision State Space Models

    Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang p50952-50971 from Advances in Neural Information Processing Systems 37
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  • Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning

    Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu, Peilin Zhao, Chunyan Miao p90136-90153 from Advances in Neural Information Processing Systems 38
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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

    Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim p24729-24753 from Advances in Neural Information Processing Systems 36
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  • ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning

    Ruiyang Zhou, Shuozhe Li, Amy Zhang, Liu Leqi p101040-101067 from Advances in Neural Information Processing Systems 38
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  • Exponential Convergence Guarantees for Iterative Markovian Fitting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exponential Convergence Guarantees for Iterative Markovian Fitting

    Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus p129258-129289 from Advances in Neural Information Processing Systems 38
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  • Exponential Dynamic Energy Network for High Capacity Sequence Memory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exponential Dynamic Energy Network for High Capacity Sequence Memory

    Arjun Karuvally, Pichsinee Lertsaroj, Terrence Sejnowski, Hava Siegelmann p43982-44009 from Advances in Neural Information Processing Systems 38
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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, Yuan Zhao, Il Memming Park 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

    Gene Li, Junbo Li, Anmol Kabra, 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

    Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher 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, Hagay Michaeli, Daniel Soudry, Jarrod McClean 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

    Aaron Zweig, Joan Bruna 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

    Peng Jiang, Lihan Hu, 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

    Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, 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

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

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expressive Gaussian Human Avatars from Monocular RGB Video

    Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, Zhangyang Wang p5646-5660 from Advances in Neural Information Processing Systems 37
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  • Expressive probabilistic sampling in recurrent neural networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expressive probabilistic sampling in recurrent neural networks

    Shirui Chen, Linxing Jiang, Rajesh Pn Rao, Eric Shea-Brown p34981-35005 from Advances in Neural Information Processing Systems 36
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  • Expressive Sign Equivariant Networks for Spectral Geometric Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expressive Sign Equivariant Networks for Spectral Geometric Learning

    Derek Lim, Joshua Robinson, Stefanie Jegelka, Haggai Maron p16426-16455 from Advances in Neural Information Processing Systems 36
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  • Expressivity-Preserving GNN Simulation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expressivity-Preserving GNN Simulation

    Fabian Jogl, Maximilian Thiessen, Thomas Gärtner p74544-74581 from Advances in Neural Information Processing Systems 36
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