Paper

  • Nonparametric Teaching for Multiple Learners

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nonparametric Teaching for Multiple Learners

    Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok p7756-7786 from Advances in Neural Information Processing Systems 36
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  • Nonparametric Uncertainty Quantification for Single Deterministic Neural Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nonparametric Uncertainty Quantification for Single Deterministic Neural Network

    Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov p36308-36323 from Advances in Neural Information Processing Systems 35
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  • Nonstationary Dual Averaging and Online Fair Allocation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nonstationary Dual Averaging and Online Fair Allocation

    Luofeng Liao, Yuan Gao, Christian Kroer p37159-37172 from Advances in Neural Information Processing Systems 35
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  • Nonstationary Sparse Spectral Permanental Process

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Nonstationary Sparse Spectral Permanental Process

    Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou p95356-95379 from Advances in Neural Information Processing Systems 37
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  • Norm-based Generalization Bounds for Sparse Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Norm-based Generalization Bounds for Sparse Neural Networks

    Tomer Galanti, Mengjia Xu, Liane Galanti, Tomaso Poggio p42482-42501 from Advances in Neural Information Processing Systems 36
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  • Norm-guided latent space exploration for text-to-image generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Norm-guided latent space exploration for text-to-image generation

    Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik p57863-57875 from Advances in Neural Information Processing Systems 36
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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

    Meng Wei, Qianyi Wu, Jianmin Zheng, Hamid Rezatofighi, Jianfei Cai 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

    Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado Van Hasselt, Razvan Pascanu, Will Dabney 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

    Gavia Gray, Aman Tiwari, Shane Bergsma, Joel Hestness 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

    Maximilian Mueller, Tiffany Vlaar, David Rolnick, Matthias Hein 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, Emmanuel Moebel, Charles Kervrann 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

    Chen Xu, Xiuyuan Cheng, Yao Xie p47379-47405 from Advances in Neural Information Processing Systems 36
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