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

    Tarek Abdelzaher, Jinning Li, Zheng Li, Shengzhong Liu, Dachun Sun, Ruijie Wang, Bing Yin 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, André Martins, Graham Neubig, Danish Pruthi, Marcos Treviso 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

    Zhiguang Cao, Yeow Meng Chee, Yining Ma 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

    Yiu-ming Cheung, Zhen Fang, Jie Lu, Bo Peng, Yonggang Zhang 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

    Ge Li, Zongqing Lu, Yaowei Wang, Yuxuan Yi 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, Yingwu Chen, Yuning Chen, Jie Chun, Yonghao Du, Qian Wan, Luona Wei, Shang Xiang 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

    Serge Belongie, Thoranna Bender, Kristjan Eldjarn Hjorleifsson, Søren Hauberg, Grethe Hyldig, Alireza Kashani, Simon Sørensen, 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

    Zheng Chen, Zhumin Chen, Pengjie Ren, Zhaochun Ren, Maarten Rijke, Weiwei Sun, Shuaiqiang Wang, Lingyong Yan, Dawei Yin, Haichao Zhu 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

    Landon Butler, Yigit Erginbas, Justin Kang, 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

    Dongsheng Li, Kan Ren, Yansen Wang, Ke Yi 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

    Vibhav Gogate, Shasha Jin, Vasundhara Komaragiri, Tahrima Rahman 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, Yan Lu, Dacheng Yin, Zhizheng Zhang, Nanning Zheng p71053-71077 from Advances in Neural Information Processing Systems 36
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