Yucen Luo 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	761	724
h 指数	7	7
i10 指数	6	6

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Jun ZhuProfessor of Computer Science, Tsinghua University在 mail.tsinghua.edu.cn 的电子邮件经过验证
Zhijie DengAssistant Professor, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
Yong RenTsinghua Univerisity在 mails.tsinghua.edu.cn 的电子邮件经过验证
Mengxi LiStanford University在 stanford.edu 的电子邮件经过验证
Jiaxin ShiResearch Scientist, Google DeepMind在 google.com 的电子邮件经过验证
Jianfei ChenAssociate Professor, Tsinghua University在 mail.tsinghua.edu.cn 的电子邮件经过验证
SHENGYANG SUNApplied Scientist, NVIDIA在 nvidia.com 的电子邮件经过验证
Yihong GuPrinceton University在 princeton.edu 的电子邮件经过验证
Yuhao ZhouPh.D. Student, Tsinghua University在 mails.tsinghua.edu.cn 的电子邮件经过验证
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH在 tuebingen.mpg.de 的电子邮件经过验证
Ryan P. AdamsPrinceton University在 princeton.edu 的电子邮件经过验证
Ricky Tian Qi ChenMeta Fundamental AI Research (FAIR)在 meta.com 的电子邮件经过验证
Alex BeatsonRedesign Science在 redesignscience.com 的电子邮件经过验证
Mohammad NorouziIdeogram在 ideogram.ai 的电子邮件经过验证
David DuvenaudAssociate Professor, University of Toronto在 cs.toronto.edu 的电子邮件经过验证
Weiyang LiuUniversity of Cambridge & Max Planck Institute for Intelligent Systems在 cam.ac.uk 的电子邮件经过验证
Adrian WellerDirector of Research, Machine Learning, University of Cambridge在 eng.cam.ac.uk 的电子邮件经过验证
Tim Z. XiaoUniversity of Tübingen · International Max Planck Research School for Intelligent Systems (IMPRS-IS)在 uni-tuebingen.de 的电子邮件经过验证
Zeju QiuTechnical University of Munich在 tum.de 的电子邮件经过验证
Krikamol MuandetCISPA - Helmholtz Center for Information Security在 cispa.de 的电子邮件经过验证

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Yucen Luo

Max Planck Institute for Intelligent Systems

在 tuebingen.mpg.de 的电子邮件经过验证 - 首页

Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Smooth neighbors on teacher graphs for semi-supervised learning Y Luo, J Zhu, M Li, Y Ren, B Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2018	294	2018
Cluster alignment with a teacher for unsupervised domain adaptation Z Deng, Y Luo, J Zhu Proceedings of the IEEE/CVF international conference on computer vision …, 2019	265	2019
Conditional generative moment-matching networks Y Ren, J Zhu, J Li, Y Luo Advances in Neural Information Processing Systems 29, 2016	70	2016
ZhuSuan: A library for Bayesian deep learning J Shi, J Chen, J Zhu, S Sun, Y Luo, Y Gu, Y Zhou arXiv preprint arXiv:1709.05870, 2017	47	2017
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models Y Luo, A Beatson, M Norouzi, J Zhu, D Duvenaud, RP Adams, RTQ Chen ICLR 2020, 2020	27	2020
Semi-crowdsourced clustering with deep generative models Y Luo, T Tian, J Shi, J Zhu, B Zhang NeurIPS 2018, 2018	22	2018
Iterative teaching by data hallucination Z Qiu, W Liu, TZ Xiao, Z Liu, U Bhatt, Y Luo, A Weller, B Schölkopf arXiv preprint arXiv:2210.17467, 2022	9	2022
Learning counterfactually invariant predictors F Quinzan, C Casolo, K Muandet, Y Luo, N Kilbertus arXiv preprint arXiv:2207.09768, 2022	7	2022
A simple yet effective baseline for robust deep learning with noisy labels Y Luo, J Zhu, T Pfister arXiv preprint arXiv:1909.09338, 2019	6	2019
Learning neural eigenfunctions for unsupervised semantic segmentation Z Deng, Y Luo Proceedings of the IEEE/CVF International Conference on Computer Vision, 551-561, 2023	4	2023
Spectral representation learning for conditional moment models Z Wang, Y Luo, Y Li, J Zhu, B Schölkopf arXiv preprint arXiv:2210.16525, 2022	4	2022
Dbsn: Measuring uncertainty through bayesian learning of deep neural network structures Z Deng, Y Luo, J Zhu, B Zhang arXiv preprint arXiv:1911.09804, 2019	3	2019
Improving Generative Moment Matching Networks with Distribution Partition Y Ren, Y Luo, J Zhu Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9403-9410, 2021	2	2021
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure Z Deng, Y Luo, J Zhu, B Zhang arXiv preprint arXiv:1911.09804, 2019	1	2019
Deep Bayesian Structure Networks Z Deng, Y Luo, J Zhu, B Zhang
Supplementary Material: Cluster Alignment with a Teacher for Unsupervised Domain Adaptation Z Deng, Y Luo, J Zhu
Identify Signs of Diabetic Retinopathy in Eye Images J Shi, Y Song, Y Luo, S Zhang
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning Supplementary Material Y Luo, J Zhu, M Li, Y Ren, B Zhang

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