Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • GPEX, A Framework For Interpreting Artificial Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GPEX, A Framework For Interpreting Artificial Neural Networks

    Gilbert Bigras, Amir Hossein Hosseini Akbarnejad, Nilanjan Ray p64181-64192 from Advances in Neural Information Processing Systems 36
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  • GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks

    Chao Huang, Zhonghang Li, Lianghao Xia, Yong Xu p70229-70246 from Advances in Neural Information Processing Systems 36
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  • GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction

    Yixiao Ge, Xiu Li, Yanwei Li, Ying Shan, Lin Song, Rui Yang, Sijie Zhao p71995-72007 from Advances in Neural Information Processing Systems 36
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  • GraB: Finding Provably Better Data Permutations than Random Reshuffling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GraB: Finding Provably Better Data Permutations than Random Reshuffling

    Christopher De Sa, Wentao Guo, Yucheng Lu p8969-8981 from Advances in Neural Information Processing Systems 35
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  • Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes

    Pin-Yu Chen, Tsung-Yi Ho, Xiaomeng Hu p126265-126296 from Advances in Neural Information Processing Systems 37
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  • Gradient Descent is Optimal Under Lower Restricted Secant Inequality and Upper Error Bound

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Descent is Optimal Under Lower Restricted Secant Inequality and Upper Error Bound

    Baptiste Goujaud, Charles Guille-Escuret, Adam Ibrahim, Ioannis Mitliagkas p24893-24904 from Advances in Neural Information Processing Systems 35
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  • Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy

    Zachary Charles, Anastasiia Koloskova, Ryan McKenna, H. Brendan McMahan, John Rush p35761-35773 from Advances in Neural Information Processing Systems 36
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  • Gradient Descent: The Ultimate Optimizer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Descent: The Ultimate Optimizer

    Kartik Chandra, Erik Meijer, Jonathan Ragan-Kelley, Audrey Xie p8214-8225 from Advances in Neural Information Processing Systems 35
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  • Gradient Estimation with Discrete Stein Operators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Estimation with Discrete Stein Operators

    Jessica Hwang, Lester Mackey, Jiaxin Shi, Michalis Titsias, Yuhao Zhou p25829-25841 from Advances in Neural Information Processing Systems 35
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  • Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians

    Rainer Engelken p10412-10439 from Advances in Neural Information Processing Systems 36
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  • Gradient Flow Dynamics of Shallow ReLU Networks for Square Loss and Orthogonal Inputs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Flow Dynamics of Shallow ReLU Networks for Square Loss and Orthogonal Inputs

    Etienne Boursier, Nicolas Flammarion, Loucas Pillaud-Vivien p20105-20118 from Advances in Neural Information Processing Systems 35
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  • Gradient Guidance for Diffusion Models: An Optimization Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Guidance for Diffusion Models: An Optimization Perspective

    Minshuo Chen, Yingqing Guo, Mengdi Wang, Yukang Yang, Hui Yuan p90736-90770 from Advances in Neural Information Processing Systems 37
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  • Gradient Informed Proximal Policy Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Informed Proximal Policy Optimization

    Ming Lin, Yi-Ling Qiao, Sanghyun Son, Ryan Sullivan, Laura Zheng p8788-8814 from Advances in Neural Information Processing Systems 36
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  • Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints

    Vaneet Aggarwal, Guanyu Nie, Christopher Quinn p20510-20539 from Advances in Neural Information Processing Systems 37
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  • Gradient Methods Provably Converge to Non-Robust Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Methods Provably Converge to Non-Robust Networks

    Ohad Shamir, Gal Vardi, Gilad Yehudai p20921-20932 from Advances in Neural Information Processing Systems 35
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  • Gradient Rewiring for Editable Graph Neural Network Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Rewiring for Editable Graph Neural Network Training

    Qizhang Feng, Xiaotian Han, Xia Hu, Zhimeng Jiang, Hongye Jin, Zirui Liu, Qiaoyu Tan, Kaixiong Zhou, Na Zou p61813-61838 from Advances in Neural Information Processing Systems 37
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  • Gradient-based Discrete Sampling with Automatic Cyclical Scheduling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-based Discrete Sampling with Automatic Cyclical Scheduling

    Riddhiman Bhattacharya, Arun Hariharan, Patrick Pynadath, Ruqi Zhang p46728-46763 from Advances in Neural Information Processing Systems 37
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  • Gradient-Based Feature Learning under Structured Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-Based Feature Learning under Structured Data

    Murat Erdogdu, Alireza Mousavi-Hosseini, Taiji Suzuki, Denny Wu p71449-71485 from Advances in Neural Information Processing Systems 36
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  • Gradient-free Decoder Inversion in Latent Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-free Decoder Inversion in Latent Diffusion Models

    Young Chun, Seongmin Hong, Suh Jeon, Kyeonghyun Lee, Ernest Ryu p82982-83007 from Advances in Neural Information Processing Systems 37
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  • Gradient-Free Kernel Stein Discrepancy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-Free Kernel Stein Discrepancy

    Matthew Fisher, Chris Oates p23855-23885 from Advances in Neural Information Processing Systems 36
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  • Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization

    Michael Jordan, Tianyi Lin, Zeyu Zheng p26160-26175 from Advances in Neural Information Processing Systems 35
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  • Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization

    Zhuanghua Liu, Bryan Kian Hsiang Low, Luo Luo p45438-45461 from Advances in Neural Information Processing Systems 37
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  • Gradient-Variation Online Learning under Generalized Smoothness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-Variation Online Learning under Generalized Smoothness

    Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou p37865-37899 from Advances in Neural Information Processing Systems 37
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  • Gradients of Functions of Large Matrices

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradients of Functions of Large Matrices

    Søren Hauberg, Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy p49484-49518 from Advances in Neural Information Processing Systems 37
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