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, Zhengrong Xue, Bingyang Zhou, Jinghan Ke, Lin Shao, Huazhe Xu 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

    Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang 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, Yucheng Yang, Wei Zeng, Jian Sun, Zongben Xu 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

    Wenjun Zhang, Liangxiao Jiang, Chaoqun Li 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

    Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han 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

    Alex Mathai, Chenxi Huang, Petros Maniatis, Aleksandr Nogikh, Franjo Ivancic, Junfeng Yang, Baishakhi Ray 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

    Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, 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

    Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang 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

    Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen 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

    Frederic Z. Zhang, Paul Albert, Cristian Rodriguez-Opazo, Anton Van Den Hengel, Ehsan Abbasnejad 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, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu 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

    Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen 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, Shan You, Fei Wang, Chen Qian, Chang Xu 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

    Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li 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

    Mher Safaryan, Alexandra Peste, Dan Alistarh 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

    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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