Paper

  • Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks

    Felix Dangel, Johannes Müller, Marius Zeinhofer p34582-34636 from Advances in Neural Information Processing Systems 37
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  • KSD Aggregated Goodness-Of-Fit Test

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KSD Aggregated Goodness-Of-Fit Test

    Arthur Gretton, Benjamin Guedj, Antonin Schrab p32624-32638 from Advances in Neural Information Processing Systems 35
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  • KuaiSim: A Comprehensive Simulator for Recommender Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KuaiSim: A Comprehensive Simulator for Recommender Systems

    Qingpeng Cai, Kun Gai, Peng Jiang, Shuchang Liu, Ziru Liu, Kesen Zhao, Xiangyu Zhao, Dong Zheng p44880-44897 from Advances in Neural Information Processing Systems 36
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  • Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards

    Kwang-Sung Jun, Hao Qin, Chicheng Zhang p60514-60526 from Advances in Neural Information Processing Systems 36
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  • Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping

    Nikolaos Bountos, Themistocles Herekakis, Ilektra Karasante, Andreas Karavias, Dimitrios Michail, Ioannis Papoutsis, Maria Sdraka, Angeliki Thanasou, Angelos Zavras p38105-38121 from Advances in Neural Information Processing Systems 37
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  • KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization

    Anshumali Shrivastava, Zhaozhuo Xu, Jonah Yi, Tianyi Zhang p3304-3331 from Advances in Neural Information Processing Systems 37
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  • KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

    Amir Gholami, Coleman Hooper, Kurt Keutzer, Sehoon Kim, Michael Mahoney, Hiva Mohammadzadeh, Yakun Shao p1270-1303 from Advances in Neural Information Processing Systems 37
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  • L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference

    Alexandre Gramfort, Julia Linhart, Pedro Rodrigues p56384-56410 from Advances in Neural Information Processing Systems 36
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  • L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors

    Zheng Chang, Si Li, Yu Li, Boxin Shi, Shuchen Weng, Peixuan Zhang p77174-77186 from Advances in Neural Information Processing Systems 36
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  • L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer

    Hyun Kim, Jin Shin p39325-39349 from Advances in Neural Information Processing Systems 37
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  • L2T-DLN: Learning to Teach with Dynamic Loss Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L2T-DLN: Learning to Teach with Dynamic Loss Network

    Zhaoyang Hai, Xiabi Liu, Zhengzheng Liu, Liyuan Pan, Mirna Yunita p43084-43096 from Advances in Neural Information Processing Systems 36
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  • L4GM: Large 4D Gaussian Reconstruction Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L4GM: Large 4D Gaussian Reconstruction Model

    Sanja Fidler, Seung Kim, Karsten Kreis, Hanxue Liang, Huan Ling, Ziwei Liu, Ashkan Mirzaei, Jiawei Ren, Antonio Torralba, Kevin Xie, Xiaohui Zeng p56828-56858 from Advances in Neural Information Processing Systems 37
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