Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Learning the Expected Core of Strictly Convex Stochastic Cooperative Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning the Expected Core of Strictly Convex Stochastic Cooperative Games

    Nam Tran, The Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh p22534-22568 from Advances in Neural Information Processing Systems 37
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  • Learning the Infinitesimal Generator of Stochastic Diffusion Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning the Infinitesimal Generator of Stochastic Diffusion Processes

    Vladimir Kostic, Karim Lounici, Hélène Halconruy, Timothée Devergne, Massimiliano Pontil p137806-137846 from Advances in Neural Information Processing Systems 37
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  • Learning the Latent Causal Structure for Modeling Label Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning the Latent Causal Structure for Modeling Label Noise

    Yexiong Lin, Yu Yao, Tongliang Liu p120549-120577 from Advances in Neural Information Processing Systems 37
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  • Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards

    Qinwei Yang, Xueqing Liu, Yan Zeng, Ruocheng Guo, Yang Liu, Peng Wu p36514-36540 from Advances in Neural Information Processing Systems 37
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  • Learning the Structure of Large Networked Systems Obeying Conservation Laws

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning the Structure of Large Networked Systems Obeying Conservation Laws

    Anirudh Rayas, Rajasekhar Anguluri, Gautam Dasarathy p14637-14650 from Advances in Neural Information Processing Systems 35
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  • Learning threshold neurons via edge of stability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning threshold neurons via edge of stability

    Kwangjun Ahn, Sebastien Bubeck, Sinho Chewi, Yin Tat Lee, Felipe Suarez, Yi Zhang p19540-19569 from Advances in Neural Information Processing Systems 36
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  • Learning Time-Invariant Representations for Individual Neurons from Population Dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Time-Invariant Representations for Individual Neurons from Population Dynamics

    Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül p46007-46026 from Advances in Neural Information Processing Systems 36
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  • Learning to Accelerate Partial Differential Equations Via Latent Global Evolution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Accelerate Partial Differential Equations Via Latent Global Evolution

    Tailin Wu, Takashi Maruyama, Jure Leskovec p2240-2253 from Advances in Neural Information Processing Systems 35
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  • Learning to Assist Humans without Inferring Rewards

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Assist Humans without Inferring Rewards

    Vivek Myers, Evan Ellis, Sergey Levine, Benjamin Eysenbach, Anca Dragan p71540-71567 from Advances in Neural Information Processing Systems 37
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  • Learning to Attack Federated Learning: A Model-Based Reinforcement Learning Attack Framework

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Attack Federated Learning: A Model-Based Reinforcement Learning Attack Framework

    Henger Li, Xiaolin Sun, Zizhan Zheng p35007-35020 from Advances in Neural Information Processing Systems 35
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  • Learning to Augment Distributions for Out-of-distribution Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Augment Distributions for Out-of-distribution Detection

    Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han p73274-73286 from Advances in Neural Information Processing Systems 36
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  • Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games

    Fanqi Kong, Yizhe Huang, Song-Chun Zhu, Siyuan Qi, Xue Feng p135819-135842 from Advances in Neural Information Processing Systems 37
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  • Learning to be Smooth: An End-to-End Differentiable Particle Smoother

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to be Smooth: An End-to-End Differentiable Particle Smoother

    Ali Younis, Erik Sudderth p7125-7155 from Advances in Neural Information Processing Systems 37
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  • Learning to Branch with Tree MDPs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Branch with Tree MDPs

    Lara Scavuzzo, Feng Chen, Didier Chetelat, Maxime Gasse, Andrea Lodi, Neil Yorke-Smith, Karen Aardal p18514-18526 from Advances in Neural Information Processing Systems 35
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  • Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation

    Jin Xu, Xiaojiang Liu, Jianhao Yan, Deng Cai, Huayang Li, Jian Li p3082-3095 from Advances in Neural Information Processing Systems 35
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  • Learning to Compare Nodes in Branch and Bound with Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Compare Nodes in Branch and Bound with Graph Neural Networks

    Abdel Ghani Labassi, Didier Chetelat, Andrea Lodi p32000-32010 from Advances in Neural Information Processing Systems 35
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  • Learning to Compress Prompts with Gist Tokens

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Compress Prompts with Gist Tokens

    Jesse Mu, Xiang Li, Noah Goodman p19327-19352 from Advances in Neural Information Processing Systems 36
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  • Learning to compute Gröbner bases

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to compute Gröbner bases

    Hiroshi Kera, Yuki Ishihara, Yuta Kambe, Tristan Vaccon, Kazuhiro Yokoyama p33141-33187 from Advances in Neural Information Processing Systems 37
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  • Learning to Configure Computer Networks with Neural Algorithmic Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Configure Computer Networks with Neural Algorithmic Reasoning

    Luca Beurer-Kellner, Martin Vechev, Laurent Vanbever, Petar Velickovic p730-742 from Advances in Neural Information Processing Systems 35
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  • Learning to Configure Separators in Branch-and-Cut

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Configure Separators in Branch-and-Cut

    Sirui Li, Wenbin Ouyang, Max Paulus, Cathy Wu p60021-60034 from Advances in Neural Information Processing Systems 36
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  • Learning to Constrain Policy Optimization with Virtual Trust Region

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Constrain Policy Optimization with Virtual Trust Region

    Thai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh p12775-12786 from Advances in Neural Information Processing Systems 35
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  • Learning to Cooperate with Humans using Generative Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Cooperate with Humans using Generative Agents

    Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon Du, Natasha Jaques p60061-60087 from Advances in Neural Information Processing Systems 37
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  • Learning to Decouple the Lights for 3D Face Texture Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Decouple the Lights for 3D Face Texture Modeling

    Tianxin Huang, Zhenyu Zhang, Ying Tai, Gim Hee Lee p101762-101789 from Advances in Neural Information Processing Systems 37
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  • Learning to Discover and Detect Objects

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Discover and Detect Objects

    Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep p8746-8759 from Advances in Neural Information Processing Systems 35
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