Paper

  • 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 Substructure Invariance for Out-Of-Distribution Molecular Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Substructure Invariance for Out-Of-Distribution Molecular Representations

    Xiaosong Jia, Qitian Wu, Junchi Yan, Nianzu Yang, Kaipeng Zeng p12964-12978 from Advances in Neural Information Processing Systems 35
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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 Superpoint Graph Cut for 3D Instance Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Superpoint Graph Cut for 3D Instance Segmentation

    Le Hui, Yaqi Shen, Linghua Tang, Jin Xie, Jian Yang p36804-36817 from Advances in Neural Information Processing Systems 35
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  • Learning Symmetric Rules with SATNet

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Symmetric Rules with SATNet

    Sangho Lim, Eun-Gyeol Oh, Hongseok Yang p13251-13262 from Advances in Neural Information Processing Systems 35
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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 Efficient Frontier

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning the Efficient Frontier

    Maxime Bergeron, Philippe Chatigny, Ryan Ferguson, Ivan Sergienko, Jordan Weir p22003-22020 from Advances in Neural Information Processing Systems 36
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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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