Zhiyu Xue 个人学术档案 - 学术资源搜索

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引用	52	52
h 指数	3	3
i10 指数	3	3

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Lixin DuanData Intelligence Group (DIG) @ UESTC在 uestc.edu.cn 的电子邮件经过验证
Wen LiData Intelligence Group, UESTC在 uestc.edu.cn 的电子邮件经过验证
Lin ChenChief Scientist at Wyze在 wyze.com 的电子邮件经过验证
Jiebo LuoAlbert Arendt Hopeman Professor of Engineering, University of Rochester在 cs.rochester.edu 的电子邮件经过验证
Mengdi HuaiIowa State University在 iastate.edu 的电子邮件经过验证
Di WangKing Abdullah University of Science and Technology在 kaust.edu.sa 的电子邮件经过验证
Rongrong WangMichigan State University在 msu.edu 的电子邮件经过验证
Zheng XingMaster of Science, Imperial College London在 ic.ac.uk 的电子邮件经过验证
Xitong ZhangPhD student, Michigan State University在 msu.edu 的电子邮件经过验证
Kristen Marie JohnsonMichigan State University在 msu.edu 的电子邮件经过验证
Yao QinAssistant Professor at UCSB, Senior Research Scientist at Google在 ucsb.edu 的电子邮件经过验证
Andong HuaUniversity of California, Santa Barbara在 ucsb.edu 的电子邮件经过验证
Jindong GuUniversity of Oxford & Google DeepMind在 robots.ox.ac.uk 的电子邮件经过验证
Qi LeiAssistant Professor of Mathematics and Data Science, New York University在 nyu.edu 的电子邮件经过验证

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Zhiyu Xue

University of California, Santa Barbara

在 ucsb.edu 的电子邮件经过验证

few-shot learning interpretability


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
Region comparison network for interpretable few-shot image classification Z Xue, L Duan, W Li, L Chen, J Luo arXiv preprint arXiv:2009.03558, 2020	18	2020
Differentially Private Pairwise Learning Revisited. Z Xue, S Yang, M Huai, Di Wang 0015 IJCAI, 3242-3248, 2021	15	2021
Relative position and map networks in few-shot learning for image classification Z Xue, Z Xie, Z Xing, L Duan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	12	2020
PAC-tuning: Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent G Liu, Z Xue, X Zhang, KM Johnson, R Wang arXiv preprint arXiv:2310.17588, 2023	3	2023
Detection of mild cognitive impairment from language markers with crossmodal augmentation G Liu, Z Xue, L Zhan, HH Dodge, J Zhou PACIFIC symposium on biocomputing 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022	3	2022
Initialization matters for adversarial transfer learning A Hua, J Gu, Z Xue, N Carlini, E Wong, Y Qin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	1	2024
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness G Liu, M Afshari, X Zhang, Z Xue, A Ghosh, B Bashyal, R Wang, ... arXiv preprint arXiv:2406.04146, 2024		2024
On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept G Liu, H Mao, B Cao, Z Xue, K Johnson, J Tang, R Wang arXiv preprint arXiv:2406.02378, 2024		2024
Exploring Minimally Sufficient Representation in Active Learning through Label-Irrelevant Patch Augmentation Z Xue, Y Dai, Q Lei Conference on Parsimony and Learning, 419-439, 2024		2024
Group AdaBoost with Fairness Constraint Z Xue Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023		2023

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