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Ethan Fetaya
Ethan Fetaya
在 biu.ac.il 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Neural relational inference for interacting systems
T Kipf, E Fetaya, KC Wang, M Welling, R Zemel
International Conference on Machine Learning, 2018
5032018
Human pose estimation using deep consensus voting
I Lifshitz, E Fetaya, S Ullman
European Conference on Computer Vision, 246-260, 2016
1672016
StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation.
D Levi, N Garnett, E Fetaya
BMVC, 109.1-109.12, 2015
1462015
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
1402016
Incremental few-shot learning with attention attractor networks
M Ren, R Liao, E Fetaya, R Zemel
Advances in Neural Information Processing Systems 32, 2019
1272019
On the Universality of Invariant Networks
H Maron, E Fetaya, N Segol, Y Lipman
International Conference on Machine Learning, 2019
1182019
Learning discrete weights using the local reparameterization trick
O Shayer, D Levi, E Fetaya
International Conference on Representation Learning, 2017
882017
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
672019
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
642018
On learning sets of symmetric elements
H Maron, O Litany, G Chechik, E Fetaya
International Conference on Machine Learning, 6734-6744, 2020
542020
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
472017
Unsupervised ensemble learning with dependent classifiers
A Jaffe, E Fetaya, B Nadler, T Jiang, Y Kluger
Artificial Intelligence and Statistics, 351-360, 2016
422016
Evaluating and calibrating uncertainty prediction in regression tasks
D Levi, L Gispan, N Giladi, E Fetaya
arXiv preprint arXiv:1905.11659, 2019
362019
Personalized federated learning using hypernetworks
A Shamsian, A Navon, E Fetaya, G Chechik
International Conference on Machine Learning, 9489-9502, 2021
332021
Understanding the Limitations of Conditional Generative Models
E Fetaya, JH Jacobsen, R Zemel
arXiv preprint arXiv:1906.01171, 2019
29*2019
Learning the pareto front with hypernetworks
A Navon, A Shamsian, G Chechik, E Fetaya
arXiv preprint arXiv:2010.04104, 2020
272020
Neural guided constraint logic programming for program synthesis
L Zhang, G Rosenblatt, E Fetaya, R Liao, W Byrd, M Might, R Urtasun, ...
Advances in Neural Information Processing Systems 31, 2018
272018
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
242021
Learning local invariant mahalanobis distances
E Fetaya, S Ullman
International conference on machine learning, 162-168, 2015
232015
Unified deep convolutional neural net for free-space estimation, object detection and object pose estimation
D Levi, N Garnett, E Fetaya, S Oron
US Patent 10,474,908, 2019
202019
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