Arnout Devos

Cited by

	All	Since 2019
Citations	235	229
h-index	7	6
i10-index	6	6

201720182019202020212022202320241 5 8 24 39 56 56 44

Public access

View all

4 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Olivier GevaertStanford UniversityVerified email at stanford.edu
Hong ZhengStanford UniversityVerified email at stanford.edu
Heather SelbyStanford UniversityVerified email at stanford.edu
Carlos Roberto Medina TemmeSwiss Federal Institute of Technology Lausanne, EPFLVerified email at epfl.ch
Sylvain ChatelCISPAVerified email at cispa.de
Kerim TureQuantum Motion TechnologiesVerified email at quantummotion.tech
DEHOLLAIN CatherineEcole Polytechnique Federale de LausanneVerified email at epfl.ch
Jean-Philippe ThiranEcole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Maria GabraniIBM ResearchVerified email at zurich.ibm.com
Behzad BozorgtabarGroup Leader & Lecturer at EPFL; Senior Scientist at CHUV-EPFLVerified email at epfl.ch
Gaurav SukhatmeProfessor, Departments of CS and ECE, USCVerified email at usc.edu
Marco VigilanteStaff Engineer, QualcommVerified email at qti.qualcomm.com
Patrick ReynaertProfessor, KU Leuven, Department of Electrical Engineering, ESAT-MICASVerified email at esat.kuleuven.be
Seppe vanden BrouckeAssociate Professor at UGent - Lecturer at KU LeuvenVerified email at ugent.be
Bart BaesensFull professor, KU LeuvenVerified email at kuleuven.be
Yatin DandiEPFL, IIT KanpurVerified email at iitk.ac.in
Sai Praneeth KarimireddyUSCVerified email at usc.edu
Martin JaggiEPFLVerified email at epfl.ch
Mary-Anne HartleyYale and EPFLVerified email at yale.edu
Klavdiia NaumovaPhD Student, Intelligent Medical Systems Lab, DKFZVerified email at dkfz-heidelberg.de

Arnout Devos

ETH AI Center, ETH Zurich

Verified email at ai.ethz.ch - Homepage

machine learning few-shot learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A meta-learning approach for genomic survival analysis YL Qiu, H Zheng, A Devos, H Selby, O Gevaert Nature Communications 11, 1-11, 2020	68	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	55	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	34	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	14	2019
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	7	2018
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
Model-Agnostic Learning to Meta-Learn A Devos, Y Dandi Proceedings of Machine Learning Research 148, 155-175, 2021	2	2021
MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images K Naumova, A Devos, SP Karimireddy, M Jaggi, MA Hartley NPJ Digital Medicine 7 (1), 238, 2024		2024
Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation AJJ Devos EPFL, 2024		2024

The system can't perform the operation now. Try again later.

Articles 1–11

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors