Paper

  • Noether Embedding: Efficient Learning of Temporal Regularities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Noether Embedding: Efficient Learning of Temporal Regularities

    Chi Gao, Zidong Zhou, Luping Shi p48185-48202 from Advances in Neural Information Processing Systems 36
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  • Noether's Razor: Learning Conserved Quantities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Noether's Razor: Learning Conserved Quantities

    Tycho Van Der Ouderaa, Mark Van Der Wilk, Pim De Haan p135943-135965 from Advances in Neural Information Processing Systems 37
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  • Noise Attention Learning: Enhancing Noise Robustness by Gradient Scaling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Noise Attention Learning: Enhancing Noise Robustness by Gradient Scaling

    Yangdi Lu, Yang Bo, Wenbo He p23164-23177 from Advances in Neural Information Processing Systems 35
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  • Noise Contrastive Alignment of Language Models with Explicit Rewards

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Noise Contrastive Alignment of Language Models with Explicit Rewards

    Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu p117784-117812 from Advances in Neural Information Processing Systems 37
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  • Noise-Adaptive Thompson Sampling for Linear Contextual Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Noise-Adaptive Thompson Sampling for Linear Contextual Bandits

    Ruitu Xu, Yifei Min, Tianhao Wang p23630-23657 from Advances in Neural Information Processing Systems 36
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  • Noise-Aware Differentially Private Regression via Meta-Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Noise-Aware Differentially Private Regression via Meta-Learning

    Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel Bruinsma, Marlon Tobaben, Antti Honkela, Richard Turner p63873-63907 from Advances in Neural Information Processing Systems 37
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  • NoiseGPT: Label Noise Detection and Rectification through Probability Curvature

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NoiseGPT: Label Noise Detection and Rectification through Probability Curvature

    Haoyu Wang, Zhuo Huang, Zhiwei Lin, Tongliang Liu p120159-120183 from Advances in Neural Information Processing Systems 37
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  • Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation

    Du Chen, Geoffrey A. Chua p91723-91755 from Advances in Neural Information Processing Systems 37
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  • Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom

    Tri Nguyen, Shahana Ibrahim, Xiao Fu p97261-97298 from Advances in Neural Information Processing Systems 37
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  • 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

    Jiamian Hu, Yuanyuan Hong, Yihua Chen, 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

    Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu 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

    Tianyi Zhang, Jonah Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava p112706-112730 from Advances in Neural Information Processing Systems 37
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