Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Learning Optimal Tax Design in Nonatomic Congestion Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Optimal Tax Design in Nonatomic Congestion Games

    Qiwen Cui, Simon Du, Maryam Fazel p124502-124529 from Advances in Neural Information Processing Systems 37
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  • Learning Partitions from Context

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Partitions from Context

    Simon Buchholz p140066-140112 from Advances in Neural Information Processing Systems 37
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  • Learning Place Cell Representations and Context-Dependent Remapping

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Place Cell Representations and Context-Dependent Remapping

    Mikkel Lepperød, Markus Pettersen, Frederik Rogge p244-269 from Advances in Neural Information Processing Systems 37
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  • Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation

    Cunxin Fan, Yang Li, Xinhao Song, Huaijin Wu, Junchi Yan, Xinhao Zheng p41649-41669 from Advances in Neural Information Processing Systems 37
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  • Learning predictable and robust neural representations by straightening image sequences

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning predictable and robust neural representations by straightening image sequences

    Xueyan Niu, Cristina Savin, Eero Simoncelli p40316-40335 from Advances in Neural Information Processing Systems 37
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  • Learning Representations for Hierarchies with Minimal Support

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Representations for Hierarchies with Minimal Support

    Michael Boratko, Shib Dasgupta, Hung Le, Andrew McCallum, Dhruvesh Patel, Benjamin Rozonoyer, Wenlong Zhao p5586-5614 from Advances in Neural Information Processing Systems 37
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  • Learning rigid-body simulators over implicit shapes for large-scale scenes and vision

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning rigid-body simulators over implicit shapes for large-scale scenes and vision

    Kelsey Allen, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Kimberly Stachenfeld, William Whitney p125809-125838 from Advances in Neural Information Processing Systems 37
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  • Learning Segmentation from Point Trajectories

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Segmentation from Point Trajectories

    Laurynas Karazija, Iro Laina, Christian Rupprecht, Andrea Vedaldi p112573-112597 from Advances in Neural Information Processing Systems 37
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  • Learning Social Welfare Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Social Welfare Functions

    Kanad Pardeshi, Ariel Procaccia, Itai Shapira, Aarti Singh p41733-41766 from Advances in Neural Information Processing Systems 37
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  • Learning Spatially-Aware Language and Audio Embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Spatially-Aware Language and Audio Embeddings

    Zakaria Aldeneh, Bhavika Devnani, Elena Menyaylenko, Miguel Sarabia, Skyler Seto, Jonathan Sheaffer, Barry-John Theobald, Alessandro Toso p33505-33537 from Advances in Neural Information Processing Systems 37
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  • Learning Structure-Aware Representations of Dependent Types

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Structure-Aware Representations of Dependent Types

    Jean-Philippe Bernardy, Konstantinos Kogkalidis, Orestis Melkonian p65095-65118 from Advances in Neural Information Processing Systems 37
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  • Learning Structured Representations with Hyperbolic Embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Structured Representations with Hyperbolic Embeddings

    Aditya Sinha, Makoto Yamada, Siqi Zeng, Han Zhao p91220-91259 from Advances in Neural Information Processing Systems 37
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  • Learning Successor Features the Simple Way

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Successor Features the Simple Way

    Raymond Chua, Arna Ghosh, Christos Kaplanis, Doina Precup, Blake Richards p49957-50030 from Advances in Neural Information Processing Systems 37
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  • Learning Superconductivity from Ordered and Disordered Material Structures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Superconductivity from Ordered and Disordered Material Structures

    Pin Chen, Wenbing Huang, Rui Jiao, Yang Liu, Yutong Lu, Qing Mo, Luoxuan Peng, Zhen Wang p108902-108928 from Advances in Neural Information Processing Systems 37
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  • Learning symmetries via weight-sharing with doubly stochastic tensors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning symmetries via weight-sharing with doubly stochastic tensors

    Erik Bekkers, Alejandro García-Castellanos, Thijs Kuipers, Sharvaree Vadgama, Putri van der Linden p42738-42764 from Advances in Neural Information Processing Systems 37
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  • 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

    Yali Du, Debmalya Mandal, Shuqing Shi, The Anh Ta, Nam Tran, 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

    Timothée Devergne, Hélène Halconruy, Vladimir Kostic, Karim Lounici, 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, Tongliang Liu, Yu Yao 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

    Ruocheng Guo, Xueqing Liu, Yang Liu, Peng Wu, Qinwei Yang, Yan Zeng p36514-36540 from Advances in Neural Information Processing Systems 37
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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

    Anca Dragan, Evan Ellis, Benjamin Eysenbach, Sergey Levine, Vivek Myers p71540-71567 from Advances in Neural Information Processing Systems 37
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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

    Xue Feng, Yizhe Huang, Fanqi Kong, Siyuan Qi, Song-Chun Zhu 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

    Erik Sudderth, Ali Younis p7125-7155 from Advances in Neural Information Processing Systems 37
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  • Learning to compute Gröbner bases

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to compute Gröbner bases

    Yuki Ishihara, Yuta Kambe, Hiroshi Kera, Tristan Vaccon, Kazuhiro Yokoyama p33141-33187 from Advances in Neural Information Processing Systems 37
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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

    Daphne Chen, Simon Du, Abhishek Gupta, Natasha Jaques, Yancheng Liang p60061-60087 from Advances in Neural Information Processing Systems 37
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