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Elad Eban
Elad Eban
Google
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Citado por
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Año
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
A Gordon, E Eban, O Nachum, B Chen, TJ Yang, E Choi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
4172017
A cortical–hippocampal–cortical loop of information processing during memory consolidation
G Rothschild, E Eban, LM Frank
Nature neuroscience 20 (2), 251-259, 2017
4052017
Interactive Proofs for Quantum Computations
D Aharonov, M Ben-Or, E Eban
Innovations in Computer Science (ICS 2008), 2008
253*2008
Scalable Learning of Non-Decomposable Objectives
EET Eban, M Schain, A Mackey, A Gordon, RA Saurous, G Elidan
Proceedings of the 20th International Conference on Artificial Intelligence …, 2016
1412016
Seq2Slate: Re-ranking and slate optimization with RNNs
I Bello, S Kulkarni, S Jain, C Boutilier, E Chi, E Eban, X Luo, A Mackey, ...
arXiv preprint arXiv:1810.02019, 2018
882018
Wisdom of committees: An overlooked approach to faster and more accurate models
X Wang, D Kondratyuk, E Christiansen, KM Kitani, Y Alon, E Eban
arXiv preprint arXiv:2012.01988, 2020
76*2020
Polynomial quantum algorithms for additive approximations of the Potts model and other points of the Tutte plane
D Aharonov, I Arad, E Eban, Z Landau
Arxiv preprint quant-ph/0702008, 2007
762007
Computationally efficient neural image compression
N Johnston, E Eban, A Gordon, J Ballé
arXiv preprint arXiv:1912.08771, 2019
742019
Dynamic Copula Networks for Modeling Real-valued Time Series
E Eban, I Nelken, G Rothschild, A Mizrahi, G Elidan
Proceedings of the 16th International Conference on Artificial Intelligence …, 2013
312013
Learning the Experts for Online Sequence Prediction
E Eban, A Birnbaum, S Shalev-Shwartz, A Globerson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012
172012
Sky optimization: Semantically aware image processing of skies in low-light photography
O Liba, L Cai, YT Tsai, E Eban, Y Movshovitz-Attias, Y Pritch, H Chen, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
162020
Structured multi-hashing for model compression
E Eban, Y Movshovitz-Attias, H Wu, M Sandler, A Poon, Y Idelbayev, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
162020
Improper Deep Kernels
U Heinemann, R Livni, E Eban, G Elidan, A Globerson
The 19th International Conference on Artificial Intelligence and …, 2016
162016
Discrete Chebyshev Classifiers
E Eban, E Mezuman, A Globerson
Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014
162014
FG-SAS: Fine-Grained Stochastic Architecture Search
SR Chaudhuri, Y Movshovitz-Attias, E Eban, M Moroz, H Li
First ICLR Workshop on Neural Architecture Search (NAS 2020), 2020
15*2020
Differentiable jaccard loss approximation for training an artificial neural network
Y Movshovitz-Attias, EET Eban
US Patent 10,535,141, 2019
142019
Neural network compression
Y Alon, E Eban
US Patent 11,928,601, 2024
132024
Learning neural network structure
O Nachum, A Gordon, E Eban, B Chen
US Patent 11,315,019, 2022
122022
Learning Max-Margin Tree Predictors
O Meshi, E Eban, G Elidan, A Globerson
Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence …, 2013
92013
Constrained classification and ranking via quantiles
A Mackey, X Luo, E Eban
arXiv preprint arXiv:1803.00067, 2018
72018
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Artículos 1–20