Paper

  • Learning to Sample and Aggregate: Few-Shot Reasoning Over Temporal Knowledge Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Sample and Aggregate: Few-Shot Reasoning Over Temporal Knowledge Graphs

    Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek Abdelzaher p16863-16876 from Advances in Neural Information Processing Systems 35
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  • Learning to Scaffold: Optimizing Model Explanations for Teaching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Scaffold: Optimizing Model Explanations for Teaching

    Patrick Fernandes, Marcos Treviso, Danish Pruthi, André Martins, Graham Neubig p36108-36122 from Advances in Neural Information Processing Systems 35
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  • Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt

    Yining Ma, Zhiguang Cao, Yeow Meng Chee p49555-49578 from Advances in Neural Information Processing Systems 36
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  • Learning to Shape In-distribution Feature Space for Out-of-distribution Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Shape In-distribution Feature Space for Out-of-distribution Detection

    Yonggang Zhang, Jie Lu, Bo Peng, Zhen Fang, Yiu-Ming Cheung p49384-49402 from Advances in Neural Information Processing Systems 37
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  • Learning to Share in Networked Multi-Agent Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Share in Networked Multi-Agent Reinforcement Learning

    Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu p15119-15131 from Advances in Neural Information Processing Systems 35
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  • Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way

    Ming Chen, Jie Chun, Shang Xiang, Luona Wei, Yonghao Du, Qian Wan, Yuning Chen, Yingwu Chen p114478-114509 from Advances in Neural Information Processing Systems 37
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  • Learning to Taste: A Multimodal Wine Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Taste: A Multimodal Wine Dataset

    Thoranna Bender, Simon Sørensen, Alireza Kashani, Kristjan Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge Belongie, Frederik Warburg p7351-7360 from Advances in Neural Information Processing Systems 36
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  • Learning to Tokenize for Generative Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Tokenize for Generative Retrieval

    Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten Rijke, Zhaochun Ren p46345-46361 from Advances in Neural Information Processing Systems 36
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  • Learning to Understand: Identifying Interactions via the Möbius Transform

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Understand: Identifying Interactions via the Möbius Transform

    Justin Kang, Yigit Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran p46160-46202 from Advances in Neural Information Processing Systems 37
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  • Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling

    Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li p53875-53891 from Advances in Neural Information Processing Systems 36
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  • Learning Tractable Probabilistic Models from Inconsistent Local Estimates

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Tractable Probabilistic Models from Inconsistent Local Estimates

    Shasha Jin, Vasundhara Komaragiri, Tahrima Rahman, Vibhav Gogate p10367-10379 from Advances in Neural Information Processing Systems 35
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  • Learning Trajectories are Generalization Indicators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Trajectories are Generalization Indicators

    Jingwen Fu, Zhizheng Zhang, Dacheng Yin, Yan Lu, Nanning Zheng p71053-71077 from Advances in Neural Information Processing Systems 36
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