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, Tongrui Su, Longhui Yuan, Jian Liang, Wei Li 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

    Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang 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

    Yuanlin Duan, Guofeng Cui, 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

    Felix Leeb, Stefan Bauer, Michel Besserve, 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

    Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro 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 Dogan 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

    Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu 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

    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 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 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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  • 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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