Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Learning Elastic Costs to Shape Monge Displacements

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Elastic Costs to Shape Monge Displacements

    Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi p108542-108565 from Advances in Neural Information Processing Systems 37
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  • Learning Energy Networks with Generalized Fenchel-Young Losses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Energy Networks with Generalized Fenchel-Young Losses

    Mathieu Blondel, Felipe Llinares-Lopez, Robert Dadashi, Leonard Hussenot, Matthieu Geist p12516-12528 from Advances in Neural Information Processing Systems 35
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  • Learning Energy-based Model via Dual-MCMC Teaching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Energy-based Model via Dual-MCMC Teaching

    Jiali Cui, Tian Han p28861-28872 from Advances in Neural Information Processing Systems 36
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  • Learning Energy-Based Prior Model with Diffusion-Amortized MCMC

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Energy-Based Prior Model with Diffusion-Amortized MCMC

    Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian (Shawn) Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu p42717-42747 from Advances in Neural Information Processing Systems 36
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  • Learning Enhanced Representation for Tabular Data Via Neighborhood Propagation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Enhanced Representation for Tabular Data Via Neighborhood Propagation

    Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P Wipf p16373-16384 from Advances in Neural Information Processing Systems 35
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  • Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions

    Ruihai Wu, Kai Cheng, Yan Zhao, Chuanruo Ning, Guanqi Zhan, Hao Dong p60966-60983 from Advances in Neural Information Processing Systems 36
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  • Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning

    Till Freihaut, Luca Viano, Volkan Cevher, Matthieu Geist, Giorgia Ramponi p108399-108449 from Advances in Neural Information Processing Systems 38
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  • Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem

    Fivos Kalogiannis, Jingming Yan, Ioannis Panageas p92832-92890 from Advances in Neural Information Processing Systems 37
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  • Learning Equivariant Segmentation with Instance-Unique Querying

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Equivariant Segmentation with Instance-Unique Querying

    Wenguan Wang, James Liang, Dongfang Liu p12826-12840 from Advances in Neural Information Processing Systems 35
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  • Learning Expandable and Adaptable Representations for Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Expandable and Adaptable Representations for Continual Learning

    Ruilong Yu, Mingyan Liu, Fei Ye, Adrian G. Bors, Rongyao Hu, Jingling sun, shijie zhou p58692-58712 from Advances in Neural Information Processing Systems 38
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  • Learning Exponential Families from Truncated Samples

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Exponential Families from Truncated Samples

    Jane Lee, Andre Wibisono, Emmanouil Zampetakis p34826-34851 from Advances in Neural Information Processing Systems 36
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  • Learning Expressive Meta-Representations with Mixture of Expert Neural Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Expressive Meta-Representations with Mixture of Expert Neural Processes

    Qi Wang, Herke Van Hoof p26242-26255 from Advances in Neural Information Processing Systems 35
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  • Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment

    Zihui (Sherry) Xue, Kristen Grauman p53688-53710 from Advances in Neural Information Processing Systems 36
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  • Learning Formal Mathematics From Intrinsic Motivation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Formal Mathematics From Intrinsic Motivation

    Gabriel Poesia, David Broman, Nick Haber, Noah Goodman p43032-43057 from Advances in Neural Information Processing Systems 37
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  • Learning Fractional White Noises in Neural Stochastic Differential Equations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Fractional White Noises in Neural Stochastic Differential Equations

    Anh Tong, Thanh Nguyen-Tang, Toan Tran, Jaesik Choi p37660-37675 from Advances in Neural Information Processing Systems 35
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  • Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation

    Qi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Yawen Huang, Wei Ji, Yuexiang Li, Yefeng Zheng p94047-94072 from Advances in Neural Information Processing Systems 37
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  • Learning from a Sample in Online Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning from a Sample in Online Algorithms

    C. J. Argue, Alan Frieze, Anupam Gupta, Christopher Seiler p13852-13863 from Advances in Neural Information Processing Systems 35
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  • Learning from A Single Markovian Trajectory: Optimality and Variance Reduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning from A Single Markovian Trajectory: Optimality and Variance Reduction

    Zhenyu Sun, Ermin Wei p22730-22759 from Advances in Neural Information Processing Systems 38
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  • Learning from Active Human Involvement through Proxy Value Propagation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning from Active Human Involvement through Proxy Value Propagation

    Zhenghao (Mark) Peng, Wenjie Mo, Chenda Duan, Quanyi Li, Bolei Zhou p77969-77992 from Advances in Neural Information Processing Systems 36
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  • Learning From Biased Soft Labels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning From Biased Soft Labels

    Hua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng, Yong Rui p59566-59584 from Advances in Neural Information Processing Systems 36
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  • Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion

    Kunxun Qi, Jianfeng Du, Hai Wan p26546-26562 from Advances in Neural Information Processing Systems 36
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  • Learning from Delayed Feedback in Games via Extra Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning from Delayed Feedback in Games via Extra Prediction

    Yuma Fujimoto, Kenshi Abe, Kaito Ariu p1472-1500 from Advances in Neural Information Processing Systems 38
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  • Learning from Demonstrations via Capability-Aware Goal Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning from Demonstrations via Capability-Aware Goal Sampling

    Yuanlin Duan, Yuning Wang, Wenjie Qiu, He Zhu p100766-100800 from Advances in Neural Information Processing Systems 38
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  • Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering

    Yiming Wang, Qun Li, Dongxia Chang, Jie Wen, Hua Dai, Fu Xiao, Yao Zhao p20742-20761 from Advances in Neural Information Processing Systems 38
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