Paper

  • Hybrid Mamba for Few-Shot Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hybrid Mamba for Few-Shot Segmentation

    Ziyue Li, Guosheng Lin, Xuanyi Liu, Cheng Long, Qianxiong Xu, Rui Zhao, Lanyun Zhu p73858-73883 from Advances in Neural Information Processing Systems 37
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  • Hybrid Mode: A New Norm for Electrical Engineering Laboratory Education?

    Research In Engineering Education Network

    Hybrid Mode: A New Norm for Electrical Engineering Laboratory Education?

    Thomas X.H. Huang, Rui H. Chu, Peter W. Jones p509-517 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs

    Wei Fan, Kevin Tan, Yuting Wei p120038-120077 from Advances in Neural Information Processing Systems 37
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  • HYBRID STRUCTURES IN HIGH-RISE BUILDINGS: THE USE OF APPROPRIATE MATERIALS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    HYBRID STRUCTURES IN HIGH-RISE BUILDINGS: THE USE OF APPROPRIATE MATERIALS

    Guido Nieri, Carsten Hein, Stuart Smith p1017-1026 from World Conference on Timber Engineering (WCTE 2023)
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  • Hybrid Thermochemical Cycle for Cold and Electricity Cogeneration: Experimental Analysis of the Process Behavior and Expander-Reactor Coupling

    ECOS 2023

    Hybrid Thermochemical Cycle for Cold and Electricity Cogeneration: Experimental Analysis of the Process Behavior and Expander-Reactor Coupling

    Hasan Ghazale, Nathalie Mazet, Pierre Neveu, Maxime Perier-Muzet p102-113 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models

    Kyra Gan, Mengxiao Gao, Promit Ghosal, Sujai Hiremath, Jacqueline Maasch p133147-133179 from Advances in Neural Information Processing Systems 37
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  • HYBRIDIZATION OF WESTERN TIMBER TRUSS AND TRADITIONAL KOREAN ROOF SHAPE IN THE EARLY 20TH CENTURY

    World Conference on Timber Engineering 2023 (WCTE 2023)

    HYBRIDIZATION OF WESTERN TIMBER TRUSS AND TRADITIONAL KOREAN ROOF SHAPE IN THE EARLY 20TH CENTURY

    Jeonghyun Kim, Jihong Kim, Bonghee Jeon p4108-4113 from World Conference on Timber Engineering (WCTE 2023)
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  • HYBRIDTIM, DESIGN AND CONSTRUCTION OF ENVIRONMENTAL HIGH PERFORMANCE HYBRID ENGINEERED TIMBER BUILDINGS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    HYBRIDTIM, DESIGN AND CONSTRUCTION OF ENVIRONMENTAL HIGH PERFORMANCE HYBRID ENGINEERED TIMBER BUILDINGS

    Kamyar Tavoussi, Alireza Fadai, Laia Haurie p4583-4589 from World Conference on Timber Engineering (WCTE 2023)
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  • HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning

    Fatima Anwar, Yasra Chandio, Momin Khan p50469-50493 from Advances in Neural Information Processing Systems 37
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  • Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers

    Tri Dao, Albert Gu, Sukjun Hwang, Aakash Lahoti, Ratish Puduppully p110876-110908 from Advances in Neural Information Processing Systems 37
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  • HYDRA: Model Factorization Framework for Black-Box LLM Personalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HYDRA: Model Factorization Framework for Black-Box LLM Personalization

    Bo Dai, Rushi Qiang, Haotian Sun, Qifan Wang, Yue Yu, Chao Zhang, Yuchen Zhuang p100783-100815 from Advances in Neural Information Processing Systems 37
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  • HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

    Zhijiang Guo, Li Li, Zhan Shi, Chunlin Tian, Chengzhong Xu p9565-9584 from Advances in Neural Information Processing Systems 37
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