Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods

    Yihua Chen, Yuanyuan Hong, Jiamian Hu, He Wang, Moriaki Yasuhara p50750-50771 from Advances in Neural Information Processing Systems 37
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  • NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise

    Jiajun Bu, Jiapei Fan, Longtao Huang, Danyu Sun, Haobo Wang, Zhonghao Wang, Sheng Zhou p38142-38170 from Advances in Neural Information Processing Systems 37
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  • NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention

    Anshumali Shrivastava, Zhaozhuo Xu, Bowen Yao, Jonah Yi, Tianyi Zhang p112706-112730 from Advances in Neural Information Processing Systems 37
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  • Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation

    Adeline Fermanian, Antoine Godichon-Baggioni, Sylvain Le Corff, Sobihan Surendran p12897-12943 from Advances in Neural Information Processing Systems 37
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  • Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits

    Qiuhao Chen, Yuling Jiao, Yinan Li, Xiliang Lu, Xin Wang, Jerry Yang, Zhan Yu p99089-99127 from Advances in Neural Information Processing Systems 37
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  • Non-asymptotic Convergence of Training Transformers for Next-token Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Non-asymptotic Convergence of Training Transformers for Next-token Prediction

    Ruiquan Huang, Yingbin Liang, Jing Yang p80634-80673 from Advances in Neural Information Processing Systems 37
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  • Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search

    Ruichen Jiang, Qiujiang Jin, Aryan Mokhtari p16810-16851 from Advances in Neural Information Processing Systems 37
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  • Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning

    Frederik Hoppe, Felix Krahmer, Hannah Laus, Claudio Mayrink Verdun, Holger Rauhut p122524-122555 from Advances in Neural Information Processing Systems 37
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  • Non-convolutional graph neural networks.

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Non-convolutional graph neural networks.

    Kyunghyun Cho, Yuanqing Wang p32705-32730 from Advances in Neural Information Processing Systems 37
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  • Non-Euclidean Mixture Model for Social Network Embedding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Non-Euclidean Mixture Model for Social Network Embedding

    Roshni Iyer, Yizhou Sun, Wei Wang, Yewen Wang p111464-111488 from Advances in Neural Information Processing Systems 37
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  • Non-geodesically-convex optimization in the Wasserstein space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Non-geodesically-convex optimization in the Wasserstein space

    Marcelo Hartmann, Arto Klami, Hoang Phuc Hau Luu, Petrus Mikkola, Kai Puolamäki, Bernardo Williams, Hanlin Yu p16772-16809 from Advances in Neural Information Processing Systems 37
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  • Non-parametric classification via expand-and-sparsify representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Non-parametric classification via expand-and-sparsify representation

    Kaushik Sinha p29657-29696 from Advances in Neural Information Processing Systems 37
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  • Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset

    Alexandre Galashov, András György, Clare Lyle, Razvan Pascanu, Maneesh Sahani, Yee Whye Teh, Michalis Titsias p83197-83234 from Advances in Neural Information Processing Systems 37
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  • Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data

    Jiang Hu, Mikael Johansson, Anthony Man-Cho So, Jiaojiao Zhang p109817-109844 from Advances in Neural Information Processing Systems 37
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  • Nonlinear dynamics of localization in neural receptive fields

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nonlinear dynamics of localization in neural receptive fields

    Erin Grant, Leon Lufkin, Andrew Saxe p25938-25960 from Advances in Neural Information Processing Systems 37
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  • Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery

    Tian Gao, Siavash Jafarzadeh, Ning Liu, Fei Lu, Stewart Silling, Yue Yu p113797-113822 from Advances in Neural Information Processing Systems 37
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  • Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks

    Minshuo Chen, Yuma Takeda, Mengdi Wang, Yu-Xiang Wang, Kaiqi Zhang, Zixuan Zhang, Tuo Zhao p65738-65764 from Advances in Neural Information Processing Systems 37
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  • Nonparametric Evaluation of Noisy ICA Solutions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nonparametric Evaluation of Noisy ICA Solutions

    Derek Bean, Peter Bickel, Syamantak Kumar, Purnamrita Sarkar p132647-132690 from Advances in Neural Information Processing Systems 37
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  • Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients

    Yuri Fonseca, Caio Peixoto, Yuri Saporito p131756-131785 from Advances in Neural Information Processing Systems 37
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  • Nonstationary Sparse Spectral Permanental Process

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nonstationary Sparse Spectral Permanental Process

    Xuhui Fan, Zenan Ling, Zicheng Sun, Yixuan Zhang, Feng Zhou p95356-95379 from Advances in Neural Information Processing Systems 37
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  • Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering

    Jianfei Cai, Hamid Rezatofighi, Meng Wei, Qianyi Wu, Jianmin Zheng p76356-76379 from Advances in Neural Information Processing Systems 37
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  • Normalization and effective learning rates in reinforcement learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Normalization and effective learning rates in reinforcement learning

    Will Dabney, Khimya Khetarpal, Clare Lyle, James Martens, Razvan Pascanu, Hado van Hasselt, Zeyu Zheng p106440-106473 from Advances in Neural Information Processing Systems 37
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  • Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers

    Shane Bergsma, Gavia Gray, Joel Hestness, Aman Tiwari p93510-93539 from Advances in Neural Information Processing Systems 37
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  • Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features

    Xiaochun Cao, Qingming Huang, Benyuan Meng, Zitai Wang, Qianqian Xu p55141-55177 from Advances in Neural Information Processing Systems 37
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