Arnout Devos 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	215	209
h 指数	7	6
i10 指数	6	6

201720182019202020212022202320241 5 8 24 39 54 58 25

开放获取的出版物数量

查看全部

4 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Olivier GevaertStanford University在 stanford.edu 的电子邮件经过验证
Hong ZhengStanford University在 stanford.edu 的电子邮件经过验证
Heather SelbyStanford University在 stanford.edu 的电子邮件经过验证
Sylvain ChatelCISPA在 cispa.de 的电子邮件经过验证
Carlos Roberto Medina TemmeSwiss Federal Institute of Technology Lausanne, EPFL在 epfl.ch 的电子邮件经过验证
Kerim TureQuantum Motion Technologies在 quantummotion.tech 的电子邮件经过验证
DEHOLLAIN CatherineEcole Polytechnique Federale de Lausanne在 epfl.ch 的电子邮件经过验证
Jean-Philippe ThiranEcole Polytechnique Fédérale de Lausanne (EPFL)在 epfl.ch 的电子邮件经过验证
Maria GabraniIBM Research在 zurich.ibm.com 的电子邮件经过验证
Behzad BozorgtabarGroup Leader & Lecturer at EPFL; Senior Scientist at CHUV-EPFL在 epfl.ch 的电子邮件经过验证
Marco VigilanteStaff Engineer, Qualcomm在 qti.qualcomm.com 的电子邮件经过验证
Patrick ReynaertProfessor, KU Leuven, Department of Electrical Engineering, ESAT-MICAS在 esat.kuleuven.be 的电子邮件经过验证
Gaurav SukhatmeProfessor, Departments of CS and ECE, USC在 usc.edu 的电子邮件经过验证
Seppe vanden BrouckeAssistant Professor at UGent - Lecturer at KU Leuven在 ugent.be 的电子邮件经过验证
Yatin DandiEPFL, IIT Kanpur在 iitk.ac.in 的电子邮件经过验证
Sai Praneeth KarimireddyPostdoc, UC Berkeley在 berkeley.edu 的电子邮件经过验证
Klavdiia NaumovaAI Research Engineer, EPFL在 epfl.ch 的电子邮件经过验证
Martin JaggiEPFL在 epfl.ch 的电子邮件经过验证
Mary-Anne HartleyYale and EPFL在 yale.edu 的电子邮件经过验证
Bart BaesensKU Leuven在 kuleuven.be 的电子邮件经过验证

关注

Arnout Devos

ETH AI Center, ETH Zurich

在 ai.ethz.ch 的电子邮件经过验证 - 首页

machine learning few-shot 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
A meta-learning approach for genomic survival analysis YL Qiu, H Zheng, A Devos, H Selby, O Gevaert Nature Communications 11, 1-11, 2020	58	2020
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification C Medina, A Devos, M Grossglauser ICML 2020 Workshop on Automated Machine Learning (AutoML), 2020	48	2020
Area and power efficient ultra-wideband transmitter based on active inductor K Ture, A Devos, F Maloberti, C Dehollain TCAS-II 2018: IEEE Transactions on Circuits and Systems II: Express Briefs …, 2018	33	2018
Regression networks for meta-learning few-shot classification A Devos, M Grossglauser ICML 2020 Workshop on Automated Machine Learning (AutoML), 2020	25*	2020
Reproducing Meta-learning with differentiable closed-form solvers A Devos, S Chatel, M Grossglauser ReScience C Journal, 2019, 2019	23	2019
Revisiting few-shot learning for facial expression recognition AN Ciubotaru, A Devos, B Bozorgtabar, JP Thiran, M Gabrani arXiv preprint arXiv:1912.02751, 2019	13	2019
Multiphase digitally controlled oscillator for future 5G phased arrays in 90 nm CMOS A Devos, M Vigilante, P Reynaert NORCAS 2016: IEEE Nordic Circuits and Systems Conference (NORCAS), 1-4, 2016	7	2016
Profit Maximizing Logistic Regression Modeling for Credit Scoring A Devos, J Dhondt, E Stripling, B Baesens, S vanden Broucke, ... DSW 2018: Proceedings of the IEEE Data Science Workshop (DSW), 125-129, 2018	6	2018
Model-Agnostic Learning to Meta-Learn A Devos, Y Dandi Proceedings of Machine Learning Research 148, 155-175, 2021	2	2021
My-This-Your-That-Interpretable Identification of Systematic Bias in Federated Learning for Biomedical Images MA Hartley, K Naumova, A Devos, S Karimireddy, M Jaggi		2024
Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation AJJ Devos EPFL, 2024		2024

系统目前无法执行此操作，请稍后再试。

文章 1–11

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用