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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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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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Clarion Technical Conferences

GradeIt: Power BI App to Guide Pipe Grade Estimation

William Harper, Thomas Bubenik, Benjamin Hanna, Tara McMahan, Adriana Nenciu p215-224 from 34th International Pipeline Pigging and Integrity Management Conference (PPIM 2022)

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World Conference on Timber Engineering 2025

GRADES AND STRENGTH CHRACTERISTICS OF LOW-DENSITY HARDWOOD, YELLOW POPLAR

Chul-Ki Kim, Da-Bin Song, Sang-Joon Lee, Keon-Ho Kim p2193-2198 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)

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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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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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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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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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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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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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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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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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