Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients

    Sima Behpour, Thang Long Doan, Liang Gou, Wenbin He, Xin Li, Liu Ren p38206-38230 from Advances in Neural Information Processing Systems 36
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  • Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization

    Amin Behjati, Ala Emrani, Babak Khalaj, Abolfazl Motahari, Amir Najafi, Amirhossein Saberi, Shadrooy, Yasaman Zolfit p73693-73725 from Advances in Neural Information Processing Systems 37
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  • Grammar Prompting for Domain-Specific Language Generation with Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Grammar Prompting for Domain-Specific Language Generation with Large Language Models

    Rif A. Saurous, Yuan Cao, Yoon Kim, Bailin Wang, Xuezhi Wang, Zi Wang p65030-65055 from Advances in Neural Information Processing Systems 36
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  • Grammar-Aligned Decoding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Grammar-Aligned Decoding

    Taylor Berg-Kirkpatrick, Loris D'Antoni, Kanghee Park, Nadia Polikarpova, Jiayu Wang p24547-24568 from Advances in Neural Information Processing Systems 37
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  • GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints

    Gabriel Afriat, Kayhan Behdin, Shibal Ibrahim, Rahul Mazumder p61158-61186 from Advances in Neural Information Processing Systems 36
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  • Granger Components Analysis: Unsupervised learning of latent temporal dependencies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Granger Components Analysis: Unsupervised learning of latent temporal dependencies

    Jacek Dmochowski p78168-78180 from Advances in Neural Information Processing Systems 36
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  • GRANOLA: Adaptive Normalization for Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GRANOLA: Adaptive Normalization for Graph Neural Networks

    Beatrice Bevilacqua, Moshe Eliasof, Haggai Maron, Carola-Bibiane Schönlieb p90514-90551 from Advances in Neural Information Processing Systems 37
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  • Graph Classification via Reference Distribution Learning: Theory and Practice

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Classification via Reference Distribution Learning: Theory and Practice

    Jicong Fan, Zixiao Wang p137698-137740 from Advances in Neural Information Processing Systems 37
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  • Graph Coarsening with Message-Passing Guarantees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Coarsening with Message-Passing Guarantees

    Antonin Joly, Nicolas Keriven p114902-114927 from Advances in Neural Information Processing Systems 37
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  • Graph Coloring Via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Coloring Via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction

    Yu Lin, Vaibhav Rajan, Hansheng Xue p30898-30910 from Advances in Neural Information Processing Systems 35
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  • Graph Contrastive Learning with Stable and Scalable Spectral Encoding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Contrastive Learning with Stable and Scalable Spectral Encoding

    Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi p45516-45532 from Advances in Neural Information Processing Systems 36
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  • Graph Convolution Network Based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Convolution Network Based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy

    Enhong Chen, Leyan Deng, Defu Lian, Chenwang Wu p3900-3912 from Advances in Neural Information Processing Systems 35
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  • Graph Convolutional Kernel Machine versus Graph Convolutional Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Convolutional Kernel Machine versus Graph Convolutional Networks

    Jicong Fan, Zhihao Wu, Zhao Zhang p19650-19672 from Advances in Neural Information Processing Systems 36
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  • Graph Convolutions Enrich the Self-Attention in Transformers!

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Convolutions Enrich the Self-Attention in Transformers!

    Jeongwhan Choi, Jayoung Kim, Kookjin Lee, Noseong Park, Yehjin Shin, Nathaniel Trask, Hyowon Wi p52891-52936 from Advances in Neural Information Processing Systems 37
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  • Graph Denoising Diffusion for Inverse Protein Folding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Denoising Diffusion for Inverse Protein Folding

    Pietro Lió, Yiqing Shen, Yuguang Wang, Kai Yi, Bingxin Zhou p10238-10257 from Advances in Neural Information Processing Systems 36
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  • Graph Diffusion Policy Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Diffusion Policy Optimization

    Wei Chen, Chao Du, Chongxuan Li, Min Lin, Yijing Liu, Tianyu Pang p9585-9611 from Advances in Neural Information Processing Systems 37
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  • Graph Diffusion Transformers for Multi-Conditional Molecular Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Diffusion Transformers for Multi-Conditional Molecular Generation

    Meng Jiang, Gang Liu, Tengfei Luo, Jiaxin Xu p8065-8092 from Advances in Neural Information Processing Systems 37
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  • Graph Edit Distance with General Costs Using Neural Set Divergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Edit Distance with General Costs Using Neural Set Divergence

    Soumen Chakrabarti, Abir De, Eeshaan Jain, Saswat Meher, Indradyumna Roy p73399-73438 from Advances in Neural Information Processing Systems 37
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  • Graph Few-Shot Learning with Task-Specific Structures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Few-Shot Learning with Task-Specific Structures

    Chen Chen, Jundong Li, Song Wang p38925-38936 from Advances in Neural Information Processing Systems 35
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  • Graph Learning Assisted Multi-Objective Integer Programming

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Learning Assisted Multi-Objective Integer Programming

    Zhiguang Cao, Abhishek Gupta, Mingyan Lin, Wen Song, Yaoxin Wu, Jie Zhang p17774-17787 from Advances in Neural Information Processing Systems 35
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  • Graph Learning for Numeric Planning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Learning for Numeric Planning

    Dillon Chen, Sylvie Thiébaux p91156-91183 from Advances in Neural Information Processing Systems 37
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  • Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling

    Yan Han, Ziyu Jiang, Ramana Kompella, Gaowen Liu, Jayanth Srinivasa, Haotao Wang, Zhangyang Atlas Wang, Yuning You p50825-50837 from Advances in Neural Information Processing Systems 36
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  • Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series

    Jie Chen, Andre Freitas, Giangiacomo Mercatali p57183-57206 from Advances in Neural Information Processing Systems 37
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  • Graph Neural Network Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Neural Network Bandits

    Ilija Bogunovic, Parnian Kassraie, Andreas Krause p34519-34531 from Advances in Neural Information Processing Systems 35
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