Paper

  • Hierarchical Channel-Spatial Encoding for Communication-Efficient Collaborative Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Channel-Spatial Encoding for Communication-Efficient Collaborative Learning

    Song Guo, Tao Guo, Xun Liu, Yi Liu, Zhihao Qu, Zhenda Xu, Jiewei Zhang, Jie Zhang, Qihua Zhou p5788-5801 from Advances in Neural Information Processing Systems 35
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  • Hierarchical Classification at Multiple Operating Points

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Classification at Multiple Operating Points

    Jack Valmadre p18034-18045 from Advances in Neural Information Processing Systems 35
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  • Hierarchical clustering with dot products recovers hidden tree structure

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical clustering with dot products recovers hidden tree structure

    Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley p31752-31779 from Advances in Neural Information Processing Systems 36
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  • Hierarchical Coordination-Based Distributed Predefined-Time Stabilization for Multi-Arm Cooperative Control in Space Robotic Systems

    International Astronautical Federation (IAF)

    Hierarchical Coordination-Based Distributed Predefined-Time Stabilization for Multi-Arm Cooperative Control in Space Robotic Systems

    Chengfei Yue, Jian Chen, Lang Lu p169-178 from IAF Astrodynamics Symposium
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  • Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

    Mingyi Huang, Hang Su, Liyuan Wang, Jingyi Xie, Xingxing Zhang, Jun Zhu p69054-69076 from Advances in Neural Information Processing Systems 36
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  • Hierarchical Distributed Model Predictive Control for Building Energy Systems

    ECOS 2023

    Hierarchical Distributed Model Predictive Control for Building Energy Systems

    Maximilian Mork, André Xhonneux, Dirk Müller p2444-2455 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Hierarchical Federated Learning with Multi-Timescale Gradient Correction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Federated Learning with Multi-Timescale Gradient Correction

    Christopher Brinton, Evan Chen, Wenzhi Fang, Dong-Jun Han, Shiqiang Wang p78863-78904 from Advances in Neural Information Processing Systems 37
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  • Hierarchical Framework for Human-Centric Safety Management in Intelligent Construction

    Aussino Academic Publishing House (AAPH)

    Hierarchical Framework for Human-Centric Safety Management in Intelligent Construction

    Jingyi YUAN, Mei LIU, Yilun WANG p419-425 from 13th International Symposium on Project Management (ISPM2025)
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  • Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning

    Haifeng Chen, Zhengzhang Chen, Wei Cheng, Yan Liu, Jingchao Ni, Liang Tong, Yizhou Zhang p48662-48685 from Advances in Neural Information Processing Systems 36
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  • Hierarchical Graph Transformer with Adaptive Node Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Graph Transformer with Adaptive Node Sampling

    Qingyong Hu, Chee-Kong Lee, Qi Liu, Zaixi Zhang p21171-21183 from Advances in Neural Information Processing Systems 35
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  • Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions

    Nhat Ho, Khai Nguyen p108140-108166 from Advances in Neural Information Processing Systems 37
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  • Hierarchical Integration Diffusion Model for Realistic Image Deblurring

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Integration Diffusion Model for Realistic Image Deblurring

    Zheng Chen, Jinjin Gu, Linghe Kong, Ding Liu, Bin Xia, Xin Yuan, Yulun Zhang p29114-29125 from Advances in Neural Information Processing Systems 36
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