Ethan Fetaya
Ethan Fetaya
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Cited by
Cited by
Neural relational inference for interacting systems
T Kipf, E Fetaya, KC Wang, M Welling, R Zemel
International Conference on Machine Learning, 2018
Personalized federated learning using hypernetworks
A Shamsian, A Navon, E Fetaya, G Chechik
International Conference on Machine Learning, 9489-9502, 2021
On the Universality of Invariant Networks
H Maron, E Fetaya, N Segol, Y Lipman
International Conference on Machine Learning, 2019
Human pose estimation using deep consensus voting
I Lifshitz, E Fetaya, S Ullman
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Incremental few-shot learning with attention attractor networks
M Ren, R Liao, E Fetaya, R Zemel
Advances in neural information processing systems 32, 2019
StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation.
D Levi, N Garnett, E Fetaya
BMVC, 109.1-109.12, 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
Learning discrete weights using the local reparameterization trick
O Shayer, D Levi, E Fetaya
International Conference on Representation Learning, 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
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
On learning sets of symmetric elements
H Maron, O Litany, G Chechik, E Fetaya
International conference on machine learning, 6734-6744, 2020
Evaluating and calibrating uncertainty prediction in regression tasks
D Levi, L Gispan, N Giladi, E Fetaya
Sensors 22 (15), 5540, 2022
Learning the pareto front with hypernetworks
A Navon, A Shamsian, G Chechik, E Fetaya
arXiv preprint arXiv:2010.04104, 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
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
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
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
Understanding the Limitations of Conditional Generative Models
E Fetaya, JH Jacobsen, R Zemel
arXiv preprint arXiv:1906.01171, 2019
Auxiliary learning by implicit differentiation
A Navon, I Achituve, H Maron, G Chechik, E Fetaya
arXiv preprint arXiv:2007.02693, 2020
Unsupervised ensemble learning with dependent classifiers
A Jaffe, E Fetaya, B Nadler, T Jiang, Y Kluger
Artificial Intelligence and Statistics, 351-360, 2016
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