Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Going beyond persistent homology using persistent homology

Johanna Immonen, Amauri Souza, Vikas Garg p63150-63173 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Gold-Standard Solutions to the Schrödinger Equation Using Deep Learning: How Much Physics Do We Need?

Leon Gerard, Michael Scherbela, Philipp Marquetand, Philipp Grohs p10282-10294 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism

Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han p51094-51112 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

GOMAA-Geo: GOal Modality Agnostic Active Geo-localization

Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik p104934-104964 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching

Haibin He, Maoyuan Ye, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao p25663-25686 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics

Indrashis Das, Mahmoud Safari, Steven Adriaensen, Frank Hutter p71060-71091 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

GOOD: A Graph Out-Of-Distribution Benchmark

Shurui Gui, Xiner Li, Limei Wang, Shuiwang Ji p2059-2073 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection

Xin Gao, Jiyao Liu, Guanghao Li, Yueming Lyu, Jianxiong Gao, Weichen Yu, Ningsheng Xu, Liang Wang, Caifeng Shan, Ziwei Liu, Chenyang Si p13812-13846 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

GoRA: Gradient-driven Adaptive Low Rank Adaptation

haonan he, Peng Ye, Yuchen Ren, yuan yuan, Luyang Zhou, Shucun Ju, lei chen p126541-126569 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Gorilla: Large Language Model Connected with Massive APIs

Shishir Patil, Tianjun Zhang, Xin Wang, Joseph Gonzalez p126544-126565 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing

Rongyao Fang, Chengqi Duan, Kun Wang, Linjiang Huang, Hao Li, Hao Tian, Shilin Yan, Weihao Yu, Xingyu Zeng, Jifeng Dai, Xihui Liu, Hongsheng Li p75373-75401 from Advances in Neural Information Processing Systems 38

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GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling

Tianhao Chen, Xin Xu, Zijing Liu, Pengxiang Li, Xinyuan Song, AJAY JAISWAL, Fan Zhang, Jishan Hu, Yang Wang, Hao CHEN, Shizhe Diao, Shiwei Liu, Yu Li, Lu Yin, Can Yang p14950-14975 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

GPEX, A Framework For Interpreting Artificial Neural Networks

Amir Hossein Hosseini Akbarnejad, Gilbert Bigras, Nilanjan Ray p64181-64192 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers

Guang Liang, Xinyao Liu, Jianxin Wu p7852-7876 from Advances in Neural Information Processing Systems 38

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GPO: Learning from Critical Steps to Improve LLM Reasoning

Jiahao Yu, Zelei Cheng, Xian Wu, Xinyu Xing p1187-1221 from Advances in Neural Information Processing Systems 38

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GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation

Zhengqiang ZHANG, Rongyuan Wu, Lingchen Sun, Lei Zhang p12462-12493 from Advances in Neural Information Processing Systems 38

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

Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang 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

Rui Yang, Lin Song, Yanwei Li, Sijie Zhao, Yixiao Ge, Xiu Li, Ying Shan 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

Yucheng Lu, Wentao Guo, Christopher De Sa p8969-8981 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective

Sifan Wang, Ananyae bhartari, Bowen Li, Paris Perdikaris p186682-186732 from Advances in Neural Information Processing Systems 38

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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

Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho p126265-126296 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules

John Vastola, Samuel J Gershman, Kanaka Rajan p132590-132631 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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

Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud, 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

Anastasiia Koloskova, Ryan McKenna, Zachary Charles, John Rush, H. Brendan McMahan p35761-35773 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Going beyond persistent homology using persistent homology

Gold-Standard Solutions to the Schrödinger Equation Using Deep Learning: How Much Physics Do We Need?

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism

GOMAA-Geo: GOal Modality Agnostic Active Geo-localization

GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching

Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics

GOOD: A Graph Out-Of-Distribution Benchmark

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection

GoRA: Gradient-driven Adaptive Low Rank Adaptation

Gorilla: Large Language Model Connected with Massive APIs

GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing

GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling

GPEX, A Framework For Interpreting Artificial Neural Networks

GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers

GPO: Learning from Critical Steps to Improve LLM Reasoning

GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation

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

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

GraB: Finding Provably Better Data Permutations than Random Reshuffling

Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective

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

Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules

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

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

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