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

    Yixin Cao, Changyi Xiao 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

    Jinheon Baek, Sung Ju Hwang, Minki Kang, Kenji Kawaguchi, Seanie Lee 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

    Bo Chen, Zhibin Duan, Miaoge Li, Chaojie Wang, Dongsheng Wang, Yi. Shi Xu, 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

    Aldo Badano, Jana Delfino, Miguel Lago, Niloufar Saharkhiz, Berkman Sahiner, Diksha Sharma, Elena Sizikova 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

    Zhen Liu, Yicheng Luo, Qianli Ma, Linghao Wang, Binquan Wu, Junhao Zheng 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

    Yoorhim Cho, Sung Ju Hwang, Yong-Ju Lee, Youngwan Lee, Kwanyong Park 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

    Chenyu Li, Yong Liu, Mingsheng Long, Jianmin Wang 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

    Max Beier, Petar Bevanda, Sandra Hirche, Eyke Hüllermeier, Armin Lederer, Stefan Sosnowski 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

    Sheng Jin, Wentao Liu, Chen Qian, Lumin Xu, Jie Yang, Wang Zeng, 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, David Wentzlaff, Hengrui Zhang 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, Philipp Hennig, Alexander Immer, Frank Schneider, Richard Turner p33624-33655 from Advances in Neural Information Processing Systems 36
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