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Elad Eban
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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
2822017
A cortical–hippocampal–cortical loop of information processing during memory consolidation
G Rothschild, E Eban, LM Frank
Nature neuroscience 20 (2), 251-259, 2017
2632017
Interactive Proofs for Quantum Computations
D Aharonov, M Ben-Or, E Eban
Innovations in Computer Science (ICS 2008), 2008
197*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
942016
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
702007
Computationally efficient neural image compression
N Johnston, E Eban, A Gordon, J Ballé
arXiv preprint arXiv:1912.08771, 2019
322019
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
292018
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
282013
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
162012
Improper Deep Kernels
U Heinemann, R Livni, E Eban, G Elidan, A Globerson
The 19th International Conference on Artificial Intelligence and …, 2016
152016
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
14*2020
Discrete Chebyshev Classifiers
E Eban, E Mezuman, A Globerson
Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014
122014
Learning Max-Margin Tree Predictors
O Meshi, E Eban, G Elidan, A Globerson
Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence …, 2013
82013
Fine-grained stochastic architecture search
SR Chaudhuri, E Eban, H Li, M Moroz, Y Movshovitz-Attias
arXiv preprint arXiv:2006.09581, 2020
62020
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
62020
Constrained classification and ranking via quantiles
A Mackey, X Luo, E Eban
arXiv preprint arXiv:1803.00067, 2018
62018
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
52020
Differentiable jaccard loss approximation for training an artificial neural network
Y Movshovitz-Attias, EET Eban
US Patent 10,535,141, 2019
32019
Learning neural network structure
O Nachum, A Gordon, E Eban, B Chen
US Patent 11,315,019, 2022
22022
Neural network compression
Y Movshovitz-Attias, E Eban
US Patent App. 15/892,890, 2019
22019
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