Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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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  • Kiki or Bouba? Sound Symbolism in Vision-and-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kiki or Bouba? Sound Symbolism in Vision-and-Language Models

    Morris Alper, Hadar Averbuch-Elor p78347-78359 from Advances in Neural Information Processing Systems 36
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  • Kissing to Find a Match: Efficient Low-Rank Permutation Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kissing to Find a Match: Efficient Low-Rank Permutation Representation

    Yuval Bahat, Hannah Dröge, Felix Heide, Zorah Lähner, Onofre Martorell Nadal, Michael Moeller p48459-48471 from Advances in Neural Information Processing Systems 36
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  • KnowGPT: Knowledge Graph based Prompting for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KnowGPT: Knowledge Graph based Prompting for Large Language Models

    Hao Chen, Junnan Dong, Xiao Huang, Zailiang Yu, Daochen Zha, Qinggang Zhang p6052-6080 from Advances in Neural Information Processing Systems 37
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  • Knowledge Circuits in Pretrained Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge Circuits in Pretrained Transformers

    Huajun Chen, Shumin Deng, Mengru Wang, Zekun Xi, Ziwen Xu, Yunzhi Yao, Ningyu Zhang p118571-118602 from Advances in Neural Information Processing Systems 37
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  • Knowledge Composition using Task Vectors with Learned Anisotropic Scaling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge Composition using Task Vectors with Learned Anisotropic Scaling

    Ehsan Abbasnejad, Paul Albert, Cristian Rodriguez-Opazo, Anton van den Hengel, Frederic Z. Zhang p67319-67354 from Advances in Neural Information Processing Systems 37
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  • Knowledge Diffusion for Distillation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge Diffusion for Distillation

    Tao Huang, Chen Qian, Fei Wang, Chang Xu, Shan You, Yuan Zhang, Mingkai Zheng p65299-65316 from Advances in Neural Information Processing Systems 36
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  • Knowledge Distillation for High Dimensional Search Index

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge Distillation for High Dimensional Search Index

    Enhong Chen, Jin Chen, Yong Ge, Defu Lian, Zepu Lu, Zaixi Zhang p33403-33419 from Advances in Neural Information Processing Systems 36
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  • Knowledge Distillation from a Stronger Teacher

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge Distillation from a Stronger Teacher

    Tao Huang, Chen Qian, Fei Wang, Chang Xu, Shan You p33716-33727 from Advances in Neural Information Processing Systems 35
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  • Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks

    Yufei Huang, Stan Z. Li, Haitao Lin, Lirong Wu p11815-11827 from Advances in Neural Information Processing Systems 35
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  • Knowledge Distillation Performs Partial Variance Reduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Knowledge Distillation Performs Partial Variance Reduction

    Dan Alistarh, Alexandra Peste, Mher Safaryan p75229-75258 from Advances in Neural Information Processing Systems 36
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  • 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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