Paper

  • Knowledge Distillation: Bad Models Can Be Good Role Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge Distillation: Bad Models Can Be Good Role Models

    Gal Kaplun, Eran Malach, Preetum Nakkiran, Shai Shalev-Shwartz p28683-28694 from Advances in Neural Information Processing Systems 35
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  • Knowledge Graph Completion by Intermediate Variables Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge Graph Completion by Intermediate Variables Regularization

    Changyi Xiao, Yixin Cao p110218-110245 from Advances in Neural Information Processing Systems 37
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  • Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks

    Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang p48573-48602 from Advances in Neural Information Processing Systems 36
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  • Knowledge-Aware Bayesian Deep Topic Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge-Aware Bayesian Deep Topic Model

    Dongsheng Wang, Yi. Shi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou p14331-14344 from Advances in Neural Information Processing Systems 35
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  • Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses

    Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel Lago, Berkman Sahiner, Jana Delfino, Aldo Badano p37401-37412 from Advances in Neural Information Processing Systems 36
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  • Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series

    Yicheng Luo, Zhen Liu, Linghao Wang, Junhao Zheng, Binquan Wu, Qianli Ma p67172-67199 from Advances in Neural Information Processing Systems 37
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  • KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis

    Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang p51597-51633 from Advances in Neural Information Processing Systems 37
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  • Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors

    Yong Liu, Chenyu Li, Jianmin Wang, Mingsheng Long p12271-12290 from Advances in Neural Information Processing Systems 36
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  • Koopman Kernel Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Koopman Kernel Regression

    Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche p16207-16221 from Advances in Neural Information Processing Systems 36
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  • KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension

    Jie Yang, Wang Zeng, Sheng Jin, Lumin Xu, Wentao Liu, Chen Qian, Ruimao Zhang p140766-140786 from Advances in Neural Information Processing Systems 37
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  • Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference

    Rohan Baskar Prabhakar, Hengrui Zhang, David Wentzlaff p7957-7980 from Advances in Neural Information Processing Systems 37
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  • Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures

    Runa Eschenhagen, Alexander Immer, Richard Turner, Frank Schneider, Philipp Hennig p33624-33655 from Advances in Neural Information Processing Systems 36
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