Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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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  • Normalization Layers Are All That Sharpness-Aware Minimization Needs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Normalization Layers Are All That Sharpness-Aware Minimization Needs

    Matthias Hein, Maximilian Mueller, David Rolnick, Tiffany Vlaar p69228-69252 from Advances in Neural Information Processing Systems 36
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  • Normalization-Equivariant Neural Networks with Application to Image Denoising

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Normalization-Equivariant Neural Networks with Application to Image Denoising

    Sébastien Herbreteau, Charles Kervrann, Emmanuel Moebel p5706-5728 from Advances in Neural Information Processing Systems 36
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  • Normalizing flow neural networks by JKO scheme

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Normalizing flow neural networks by JKO scheme

    Xiuyuan Cheng, Yao Xie, Chen Xu p47379-47405 from Advances in Neural Information Processing Systems 36
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  • Normalizing Flows for Knockoff-Free Controlled Feature Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Normalizing Flows for Knockoff-Free Controlled Feature Selection

    Derek Hansen, Brian Manzo, Jeffrey Regier p16125-16137 from Advances in Neural Information Processing Systems 35
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  • Not All Bits Have Equal Value: Heterogeneous Precisions Via Trainable Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not All Bits Have Equal Value: Heterogeneous Precisions Via Trainable Noise

    Yanjing Li, Michael Maire, Pedro Savarese, Xin Yuan p35769-35782 from Advances in Neural Information Processing Systems 35
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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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  • Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

    Emanuele Marconato, Andrea Passerini, Stefano Teso, Antonio Vergari p72507-72539 from Advances in Neural Information Processing Systems 36
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  • Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning

    Xin Song, Yi Xu, Yang Yang, Yuxuan Zhang p13802-13818 from Advances in Neural Information Processing Systems 36
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  • Not All Tokens Are What You Need for Pretraining

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not All Tokens Are What You Need for Pretraining

    Weizhu Chen, Nan Duan, Yeyun Gong, Zhibin Gou, Jian Jiao, Chen Lin, Zhenghao Lin, Xiao Liu, Yelong Shen, Ruochen Xu, Yujiu Yang p29029-29063 from Advances in Neural Information Processing Systems 37
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  • Not Just Object, But State: Compositional Incremental Learning without Forgetting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not Just Object, But State: Compositional Incremental Learning without Forgetting

    Ran He, Qi Jia, Yu Liu, Binglin Qiu, Yanyi Zhang p123182-123206 from Advances in Neural Information Processing Systems 37
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  • Not so griddy: Internal representations of RNNs path integrating more than one agent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not so griddy: Internal representations of RNNs path integrating more than one agent

    Francisco Acosta, Santiago Acosta-Mendoza, Nina Miolane, William Redman p22657-22689 from Advances in Neural Information Processing Systems 37
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  • Not Too Little, Not Too Much: A Theoretical Analysis of Graph (over)smoothing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not Too Little, Not Too Much: A Theoretical Analysis of Graph (over)smoothing

    Nicolas Keriven p2268-2281 from Advances in Neural Information Processing Systems 35
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  • NOTE: Robust Continual Test-Time Adaptation Against Temporal Correlation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NOTE: Robust Continual Test-Time Adaptation Against Temporal Correlation

    Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Sung-Ju Lee, Jinwoo Shin p27253-27266 from Advances in Neural Information Processing Systems 35
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  • Novel Object Synthesis via Adaptive Text-Image Harmony

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Novel Object Synthesis via Adaptive Text-Image Harmony

    Shuo Chen, Zikun Chen, Jun Li, Xiang Li, Gan Sun, Zeren Xiong, Jian Yang, Zedong Zhang p139085-139113 from Advances in Neural Information Processing Systems 37
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  • NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics

    Shaorong Chen, Wenjie Du, Stan Z. Li, Tianze Ling, Yue Liu, Sizhe Sizhe Liu, Jun Xia, Jianwei Yin, Jingbo Zhou p104776-104791 from Advances in Neural Information Processing Systems 37
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  • NPCL: Neural Processes for Uncertainty-Aware Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NPCL: Neural Processes for Uncertainty-Aware Continual Learning

    Dong Gong, Saurav Jha, Lina Yao, He Zhao p34329-34353 from Advances in Neural Information Processing Systems 36
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  • NS3: Neuro-Symbolic Semantic Code Search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NS3: Neuro-Symbolic Semantic Code Search

    Miltiadis Allamanis, Shushan Arakelyan, Luis Garcia, Anna Hakhverdyan, Christophe Hauser, Xiang Ren p10476-10491 from Advances in Neural Information Processing Systems 35
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  • NSNet: A General Neural Probabilistic Framework for Satisfiability Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NSNet: A General Neural Probabilistic Framework for Satisfiability Problems

    Zhaoyu Li, Xujie Si p25573-25585 from Advances in Neural Information Processing Systems 35
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  • NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF

    Gim Hee Lee, Min Lin, Stefan Lionar, Xiangyu Xu p63011-63022 from Advances in Neural Information Processing Systems 36
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  • Nuclear Fusion Diamond Polishing Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nuclear Fusion Diamond Polishing Dataset

    Antonios Alexos, Pierre Baldi, Suhas Bhandarkar, Kshitij Bhardwaj, Monika Biener, Satish Bukkapatnam, Shashank Galla, Sean Hayes, Junze Liu, Alexander Schwartz p48692-48709 from Advances in Neural Information Processing Systems 37
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  • Nuclear Norm Regularization for Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nuclear Norm Regularization for Deep Learning

    Christopher Scarvelis, Justin Solomon p116223-116253 from Advances in Neural Information Processing Systems 37
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  • NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding

    Peibo Duan, Wei Feng, Zongyuan Ge, Ming Hu, Lie Ju, Don Ma, Qingli Ren, Lin Wang, Peng Xia, Siyuan Yan p18146-18164 from Advances in Neural Information Processing Systems 36
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  • NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA

    Hyeong Kyu Choi, Jaewon Chu, Hyunwoo Kim, Seunghun Lee p35954-35965 from Advances in Neural Information Processing Systems 36
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