Ethan Fetaya

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Richard ZemelProfessor of Computer Science, University of TorontoAdresse e-mail validée de cs.toronto.edu
Haggai MaronAssistant Professor at the Technion, Research Scientist at NVIDIA ResearchAdresse e-mail validée de technion.ac.il
Dan LeviGeneral Motors R&DAdresse e-mail validée de gm.com
Renjie LiaoUniversity of British ColumbiaAdresse e-mail validée de ece.ubc.ca
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Adresse e-mail validée de cs.toronto.edu
Thomas KipfStaff Research Scientist, Google DeepMindAdresse e-mail validée de google.com
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamAdresse e-mail validée de uva.nl
Kuan-Chieh WangSnap Inc.Adresse e-mail validée de stanford.edu
Daniel HarariResearch Associate, Weizmann Institute of ScienceAdresse e-mail validée de weizmann.ac.il
Yaron LipmanWeizmann Institute, FAIR MetaAdresse e-mail validée de weizmann.ac.il
Ita LifshitzWeizmann Institute of ScienceAdresse e-mail validée de weizmann.ac.il
Oran ShayerMSc, Technion - Israel Institute of TechnologyAdresse e-mail validée de campus.technion.ac.il
Ariel JaffeThe Hebrew UniversityAdresse e-mail validée de mail.huji.ac.il
Boaz NadlerWeizmann Institute of Science, IsraelAdresse e-mail validée de weizmann.ac.il
Yuval KlugerYale UniversityAdresse e-mail validée de yale.edu
Ohad ShamirWeizmann Institute of ScienceAdresse e-mail validée de weizmann.ac.il

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Ethan Fetaya

Bar-Ilan University

Adresse e-mail validée de biu.ac.il - Page d'accueil

Machine learning Computer vision


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Neural relational inference for interacting systems T Kipf, E Fetaya, KC Wang, M Welling, R Zemel International Conference on Machine Learning, 2018	994	2018
Personalized federated learning using hypernetworks A Shamsian, A Navon, E Fetaya, G Chechik International Conference on Machine Learning, 9489-9502, 2021	322	2021
On the Universality of Invariant Networks H Maron, E Fetaya, N Segol, Y Lipman International Conference on Machine Learning, 2019	257	2019
Incremental few-shot learning with attention attractor networks M Ren, R Liao, E Fetaya, R Zemel Advances in neural information processing systems 32, 2019	207	2019
Human pose estimation using deep consensus voting I Lifshitz, E Fetaya, S Ullman Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	206	2016
StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation. D Levi, N Garnett, E Fetaya BMVC, 109.1-109.12, 2015	197	2015
Atoms of recognition in human and computer vision S Ullman, L Assif, E Fetaya, D Harari Proceedings of the National Academy of Sciences 113 (10), 2744-2749, 2016	191	2016
Learning discrete weights using the local reparameterization trick O Shayer, D Levi, E Fetaya International Conference on Representation Learning, 2017	148	2017
Reviving and improving recurrent back-propagation R Liao, Y Xiong, E Fetaya, L Zhang, KJ Yoon, X Pitkow, R Urtasun, ... International Conference on Machine Learning, 3082-3091, 2018	137	2018
Evaluating and calibrating uncertainty prediction in regression tasks D Levi, L Gispan, N Giladi, E Fetaya Sensors 22 (15), 5540, 2022	136	2022
Learning the pareto front with hypernetworks A Navon, A Shamsian, G Chechik, E Fetaya arXiv preprint arXiv:2010.04104, 2020	130	2020
From local structures to size generalization in graph neural networks G Yehudai, E Fetaya, E Meirom, G Chechik, H Maron International Conference on Machine Learning, 11975-11986, 2021	126	2021
On learning sets of symmetric elements H Maron, O Litany, G Chechik, E Fetaya International conference on machine learning, 6734-6744, 2020	123	2020
Inference in probabilistic graphical models by graph neural networks KJ Yoon, R Liao, Y Xiong, L Zhang, E Fetaya, R Urtasun, R Zemel, ... 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 868-875, 2019	114	2019
Multi-task learning as a bargaining game A Navon, A Shamsian, I Achituve, H Maron, K Kawaguchi, G Chechik, ... arXiv preprint arXiv:2202.01017, 2022	108	2022
Personalized federated learning with gaussian processes I Achituve, A Shamsian, A Navon, G Chechik, E Fetaya Advances in Neural Information Processing Systems 34, 8392-8406, 2021	102	2021
Real-time category-based and general obstacle detection for autonomous driving N Garnett, S Silberstein, S Oron, E Fetaya, U Verner, A Ayash, V Goldner, ... Proceedings of the IEEE international conference on computer vision …, 2017	102	2017
Auxiliary learning by implicit differentiation A Navon, I Achituve, H Maron, G Chechik, E Fetaya arXiv preprint arXiv:2007.02693, 2020	59	2020
Understanding the Limitations of Conditional Generative Models E Fetaya, JH Jacobsen, R Zemel arXiv preprint arXiv:1906.01171, 2019	58*	2019
Unsupervised ensemble learning with dependent classifiers A Jaffe, E Fetaya, B Nadler, T Jiang, Y Kluger Artificial Intelligence and Statistics, 351-360, 2016	53	2016

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