Ethan Fetaya

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Haggai MaronAssistant Professor at the Technion, Research Scientist at NVIDIA ResearchDirección de correo verificada de technion.ac.il
Richard ZemelProfessor of Computer Science, University of TorontoDirección de correo verificada de cs.toronto.edu
Dan LeviGeneral Motors R&DDirección de correo verificada de gm.com
Renjie LiaoUniversity of British ColumbiaDirección de correo verificada de ece.ubc.ca
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Dirección de correo verificada de cs.toronto.edu
Thomas KipfStaff Research Scientist, Google DeepMindDirección de correo verificada de google.com
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamDirección de correo verificada de uva.nl
Kuan-Chieh WangSnap Inc.Dirección de correo verificada de stanford.edu
Daniel HarariResearch Associate, Weizmann Institute of ScienceDirección de correo verificada de weizmann.ac.il
Yaron LipmanWeizmann Institute, FAIR MetaDirección de correo verificada de weizmann.ac.il
Ita LifshitzWeizmann Institute of ScienceDirección de correo verificada de weizmann.ac.il
Oran ShayerMSc, Technion - Israel Institute of TechnologyDirección de correo verificada de campus.technion.ac.il
Ariel JaffeThe Hebrew UniversityDirección de correo verificada de mail.huji.ac.il
Boaz NadlerWeizmann Institute of Science, IsraelDirección de correo verificada de weizmann.ac.il
Yuval KlugerYale UniversityDirección de correo verificada de yale.edu
Ohad ShamirWeizmann Institute of ScienceDirección de correo verificada de weizmann.ac.il

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Ethan Fetaya

Bar-Ilan University

Dirección de correo verificada de biu.ac.il - Página principal

Machine learning Computer vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Neural relational inference for interacting systems T Kipf, E Fetaya, KC Wang, M Welling, R Zemel International Conference on Machine Learning, 2018	1020	2018
Personalized federated learning using hypernetworks A Shamsian, A Navon, E Fetaya, G Chechik International Conference on Machine Learning, 9489-9502, 2021	352	2021
On the Universality of Invariant Networks H Maron, E Fetaya, N Segol, Y Lipman International Conference on Machine Learning, 2019	261	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	208	2019
Human pose estimation using deep consensus voting I Lifshitz, E Fetaya, S Ullman Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	207	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	196	2016
Learning discrete weights using the local reparameterization trick O Shayer, D Levi, E Fetaya International Conference on Representation Learning, 2017	154	2017
Evaluating and calibrating uncertainty prediction in regression tasks D Levi, L Gispan, N Giladi, E Fetaya Sensors 22 (15), 5540, 2022	148	2022
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	143	2018
Learning the pareto front with hypernetworks A Navon, A Shamsian, G Chechik, E Fetaya arXiv preprint arXiv:2010.04104, 2020	139	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	132	2021
On learning sets of symmetric elements H Maron, O Litany, G Chechik, E Fetaya International conference on machine learning, 6734-6744, 2020	130	2020
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	120	2022
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	117	2019
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	113	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	96	2017
Auxiliary learning by implicit differentiation A Navon, I Achituve, H Maron, G Chechik, E Fetaya arXiv preprint arXiv:2007.02693, 2020	62	2020
Geometric deep optical sensing S Yuan, C Ma, E Fetaya, T Mueller, D Naveh, F Zhang, F Xia Science 379 (6637), eade1220, 2023	60	2023
Understanding the Limitations of Conditional Generative Models E Fetaya, JH Jacobsen, R Zemel arXiv preprint arXiv:1906.01171, 2019	60*	2019

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