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Ran El-Yaniv
Ran El-Yaniv
Professor of Computer Science, Technion - Israel Institute of Technology. Chief Scientist - Deci AI
Verified email at cs.technion.ac.il - Homepage
Title
Cited by
Cited by
Year
Binarynet: Training deep neural networks with weights and activations constrained to+ 1 or-1
YB M Courbariaux
3872*
Binarized Neural Networks: Training Neural Networks with Weights and Activations Constrained to+ 1 or−
B Courbariaux, Hubara, Soudry, El-Yaniv
arXiv preprint arXiv:1602.02830, 2016
38702016
Online computation and competitive analysis
A Borodin, R El-Yaniv
Cambridge University Press 2, 123-149, 1998
3538*1998
Binarized neural networks
I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio
Advances in neural information processing systems 29, 2016
27732016
Quantized neural networks: Training neural networks with low precision weights and activations
I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio
journal of machine learning research 18 (187), 1-30, 2018
24112018
Deep anomaly detection using geometric transformations
I Golan, R El-Yaniv
Advances in neural information processing systems 31, 2018
8242018
Selective classification for deep neural networks
Y Geifman, R El-Yaniv
Advances in neural information processing systems 30, 2017
7002017
On prediction using variable order Markov models
R Begleiter, R El-Yaniv, G Yona
J. Artif. Intell. Res. (JAIR) 22, 385-421, 2004
5942004
Online choice of active learning algorithms
Y Baram, RE Yaniv, K Luz
Journal of Machine Learning Research 5 (Mar), 255-291, 2004
5522004
Distributional word clusters vs. words for text categorization
YW R Bekkerman, R El-Yaniv, N Tishby
Journal of Machine Learning Research 1, 1-48, 2002
466*2002
Distributional word clusters vs. words for text categorization
YW R Bekkerman, R El-Yaniv, N Tishby
Journal of Machine Learning Research, 2002
466*2002
On the Foundations of Noise-free Selective Classification.
R El-Yaniv
Journal of Machine Learning Research 11 (5), 2010
4262010
Selectivenet: A deep neural network with an integrated reject option
Y Geifman, R El-Yaniv
International conference on machine learning, 2151-2159, 2019
4092019
Texture mixing and texture movie synthesis using statistical learning
Z Bar-Joseph, R El-Yaniv, D Lischinski, M Werman
IEEE Transactions on visualization and computer graphics 7 (2), 120-135, 2001
3462001
Can we learn to beat the best stock
A Borodin, R El-Yaniv, V Gogan
Advances in Neural Information Processing Systems 16, 2003
3252003
Optimal search and one-way trading online algorithms
R El-Yaniv, A Fiat, RM Karp, G Turpin
Algorithmica 30 (1), 101-139, 2001
2602001
Methods and systems of supervised learning of semantic relatedness
ELY Ran, D Yanay
US Patent 8,909,648, 2014
2312014
On feature distributional clustering for text categorization
R Bekkerman, R El-Yaniv, N Tishby, Y Winter
Proceedings of the 24th annual international ACM SIGIR conference on …, 2001
2062001
Deep active learning over the long tail
Y Geifman, R El-Yaniv
arXiv preprint arXiv:1711.00941, 2017
1812017
Learn on source, refine on target: A model transfer learning framework with random forests
N Segev, M Harel, S Mannor, K Crammer, R El-Yaniv
IEEE transactions on pattern analysis and machine intelligence 39 (9), 1811-1824, 2016
1522016
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