Paper

  • Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm

    Julia Olkhovskaya, Sattar Vakili p25401-25425 from Advances in Neural Information Processing Systems 37
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  • Kernel-Based Tests for Likelihood-Free Hypothesis Testing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernel-Based Tests for Likelihood-Free Hypothesis Testing

    Patrik Robert Gerber, Tianze Jiang, Yury Polyanskiy, Rui Sun p15680-15715 from Advances in Neural Information Processing Systems 36
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  • Kernelized Cumulants: Beyond Kernel Mean Embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernelized Cumulants: Beyond Kernel Mean Embeddings

    Patric Bonnier, Harald Oberhauser, Zoltan Szabo p11049-11074 from Advances in Neural Information Processing Systems 36
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  • Kernelized Reinforcement Learning with Order Optimal Regret Bounds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernelized Reinforcement Learning with Order Optimal Regret Bounds

    Julia Olkhovskaya, Sattar Vakili p4225-4247 from Advances in Neural Information Processing Systems 36
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  • KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation

    Ta-Chung Chi, Ting-Han Fan, Peter J Ramadge, Alexander Rudnicky p8386-8399 from Advances in Neural Information Processing Systems 35
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  • KEY ASPECTS FOR ECONOMIC FEASIBILITY OF IMPLEMENTING DESIGN FOR STRUCTURAL ADAPTATION IN THE AUSTRALIAN TIMBER INDUSTRY

    World Conference on Timber Engineering 2025

    KEY ASPECTS FOR ECONOMIC FEASIBILITY OF IMPLEMENTING DESIGN FOR STRUCTURAL ADAPTATION IN THE AUSTRALIAN TIMBER INDUSTRY

    Vera Öberg, Robert Jockwer, Yutaka Goto, Mohammad Al-Emrani p5240-5249 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features

    Chengkai Hou, Jinghan Ke, Lin Shao, Huazhe Xu, Zhengrong Xue, Bingyang Zhou p49154-49179 from Advances in Neural Information Processing Systems 37
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  • Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation

    Kaize Ding, Guido Gerig, Mengwei Ren, Yalin Wang, Zhangsihao Yang p60724-60747 from Advances in Neural Information Processing Systems 36
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  • Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation

    Xiang Gu, Jian Sun, Zongben Xu, Yucheng Yang, Wei Zeng p14972-14985 from Advances in Neural Information Processing Systems 35
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  • KFNN: K-Free Nearest Neighbor For Crowdsourcing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KFNN: K-Free Nearest Neighbor For Crowdsourcing

    Liangxiao Jiang, Chaoqun Li, Wenjun Zhang p116493-116512 from Advances in Neural Information Processing Systems 37
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  • KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge

    Parminder Bhatia, Lang Cao, Jiawei Han, Pengcheng Jiang, Jimeng Sun, Cao Xiao p136220-136258 from Advances in Neural Information Processing Systems 37
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  • kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution

    Chenxi Huang, Franjo Ivančić, Petros Maniatis, Alex Mathai, Aleksandr Nogikh, Baishakhi Ray, Junfeng Yang p78053-78078 from Advances in Neural Information Processing Systems 37
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