Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation

    Mingjia Li, Shuang Li, Wei Li, Jian Liang, Tongrui Su, Longhui Yuan p12164-12194 from Advances in Neural Information Processing Systems 37
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  • Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability

    Yuan He, Qingming Huang, Peisong Wen, Qianqian Xu, Zhiyong Yang p28335-28349 from Advances in Neural Information Processing Systems 35
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  • Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning

    Guofeng Cui, Yuanlin Duan, He Zhu p61160-61191 from Advances in Neural Information Processing Systems 37
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  • Exploring the Latent Space of Autoencoders with Interventional Assays

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the Latent Space of Autoencoders with Interventional Assays

    Stefan Bauer, Michel Besserve, Felix Leeb, Bernhard Schölkopf p21562-21574 from Advances in Neural Information Processing Systems 35
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  • Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models

    Anima Anandkumar, Bryan Catanzaro, Bo Li, Mostofa Patwary, Wei Ping, Mohammad Shoeybi, Boxin Wang, Chaowei Xiao, Peng Xu p35811-35824 from Advances in Neural Information Processing Systems 35
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  • Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations

    Yu Cao, Jingrun Chen, Yixin Luo, Xiang Zhou p33420-33468 from Advances in Neural Information Processing Systems 36
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  • Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning

    Andrew Bond, Zafer DoÄźan p69865-69887 from Advances in Neural Information Processing Systems 37
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  • Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models

    Hongsheng Li, Yu Liu, Bingqi Ma, Guanglu Song, Zhuofan Zong p118428-118455 from Advances in Neural Information Processing Systems 37
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  • 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

    Cynthia Chestek, Joseph Costello, Luis Cubillos, Anne Draelos, Aren Hite, Madison Kelberman, Matthew Mender, Xiaoyong Ni, Parag Patil, Guy Revach, Nir Shlezinger, Hisham Temmar, Ruud van Sloun, Dylan Wallace, Matthew Willsey, Diksha Zutshi p133975-133998 from Advances in Neural Information Processing Systems 37
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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

    Zhi Chen, Cynthia Rudin, Margo Seltzer, Takuya Takagi, Rui Xin, Chudi Zhong 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

    Louis Kirsch, Aditya Ramesh, JĂĽrgen Schmidhuber, Sjoerd Van Steenkiste 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

    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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  • Expressive Gaussian Human Avatars from Monocular RGB Video

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expressive Gaussian Human Avatars from Monocular RGB Video

    Zhiwen Fan, Hezhen Hu, Seoyoung Lee, Georgios Pavlakos, Zhangyang Wang, Tianhao Wu, Yihan Xi p5646-5660 from Advances in Neural Information Processing Systems 37
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