Paper

  • K-LITE: Learning Transferable Visual Models with External Knowledge

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    K-LITE: Learning Transferable Visual Models with External Knowledge

    Trevor Darrell, Zhe Gan, Jianfeng Gao, Xiaowei Hu, Kurt Keutzer, Chunyuan Li, Ce Liu, Anna Rohrbach, Sheng Shen, Lijuan Wang, Yujia Xie, Jianwei Yang, Lu Yuan, Pengchuan Zhang p15558-15573 from Advances in Neural Information Processing Systems 35
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  • k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy

    Chenglin Fan, Ping Li, Xiaoyun Li p73817-73838 from Advances in Neural Information Processing Systems 36
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  • K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing

    Ziqi Chen, Shuai Li, Hai Shu, Zhuoran Sun, Christina Wang, Yanfeng Yang, Yingjie Zhang, Hongtu Zhu p23321-23344 from Advances in Neural Information Processing Systems 36
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  • K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions

    Seung-Hyun Kong, Dong-Hee Paek, Kevin Tirta Wijaya p3819-3829 from Advances in Neural Information Processing Systems 35
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  • k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension

    Ziv Goldfeld, Kristjan Greenewald, Theshani Nuradha, Galen Reeves p15982-15995 from Advances in Neural Information Processing Systems 35
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  • KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training

    Balazs Gerofi, Edgar Josafat Martinez-Noriega, Truong Thao Nguyen, François Trahay, Mohamed Wahib p37900-37922 from Advances in Neural Information Processing Systems 36
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  • Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling

    Jiatao Gu, Navdeep Jaitly, Ying Shen, Josh Susskind, Shuangfei Zhai, Yizhe Zhang p5498-5527 from Advances in Neural Information Processing Systems 37
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  • Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning

    Xinran Li, Ling Pan, Jun Zhang p22081-22106 from Advances in Neural Information Processing Systems 37
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  • KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts

    Xiong-Hui Chen, Kaiyuan Li, Jing-Cheng Pang, Nan Tang, Si-Hang Yang, Yang Yu p126620-126652 from Advances in Neural Information Processing Systems 37
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  • Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting

    Kai Han, Fangcheng Liu, Zhenhua Liu, Yunsheng Ni, Duyu Tang, Yehui Tang, Yunhe Wang p11946-11965 from Advances in Neural Information Processing Systems 37
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  • Kantorovich Strikes Back! Wasserstein GANs Are Not Optimal Transport?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kantorovich Strikes Back! Wasserstein GANs Are Not Optimal Transport?

    Evgeny Burnaev, Alexander Kolesov, Alexander Korotin p13933-13946 from Advances in Neural Information Processing Systems 35
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  • Katakomba: Tools and Benchmarks for Data-Driven NetHack

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Katakomba: Tools and Benchmarks for Data-Driven NetHack

    Sergey Kolesnikov, Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov p52969-52990 from Advances in Neural Information Processing Systems 36
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