Ilya Sutskever
Ilya Sutskever
Chief Scientist of OpenAI
Verified email at openai.com - Homepage
TitleCited byYear
Imagenet classification with deep convolutional neural networks
A Krizhevsky, I Sutskever, GE Hinton
Advances in neural information processing systems, 1097-1105, 2012
479182012
Distributed representations of words and phrases and their compositionality
T Mikolov, I Sutskever, K Chen, GS Corrado, J Dean
Advances in neural information processing systems, 3111-3119, 2013
153132013
Dropout: a simple way to prevent neural networks from overfitting
N Srivastava, G Hinton, A Krizhevsky, I Sutskever, R Salakhutdinov
The journal of machine learning research 15 (1), 1929-1958, 2014
147822014
Sequence to sequence learning with neural networks
I Sutskever, O Vinyals, QV Le
Advances in neural information processing systems, 3104-3112, 2014
79162014
Mastering the game of Go with deep neural networks and tree search
D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche, ...
nature 529 (7587), 484, 2016
58372016
Tensorflow: A system for large-scale machine learning
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th {USENIX} Symposium on Operating Systems Design and Implementation …, 2016
56292016
Tensorflow: A system for large-scale machine learning
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th {USENIX} Symposium on Operating Systems Design and Implementation …, 2016
56292016
Tensorflow: A system for large-scale machine learning
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th {USENIX} Symposium on Operating Systems Design and Implementation …, 2016
56292016
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
Software available from tensorflow. org 1 (2), 2015
45652015
Improving neural networks by preventing co-adaptation of feature detectors
GE Hinton, N Srivastava, A Krizhevsky, I Sutskever, RR Salakhutdinov
arXiv preprint arXiv:1207.0580, 2012
42632012
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2016
41502016
Intriguing properties of neural networks
C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ...
arXiv preprint arXiv:1312.6199, 2013
30452013
On the importance of initialization and momentum in deep learning
I Sutskever, J Martens, G Dahl, G Hinton
International conference on machine learning, 1139-1147, 2013
20202013
Recurrent neural network regularization
W Zaremba, I Sutskever, O Vinyals
arXiv preprint arXiv:1409.2329, 2014
12952014
Infogan: Interpretable representation learning by information maximizing generative adversarial nets
X Chen, Y Duan, R Houthooft, J Schulman, I Sutskever, P Abbeel
Advances in neural information processing systems, 2172-2180, 2016
12772016
Generating text with recurrent neural networks
I Sutskever, J Martens, GE Hinton
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
9162011
An empirical exploration of recurrent network architectures
R Jozefowicz, W Zaremba, I Sutskever
International Conference on Machine Learning, 2342-2350, 2015
8742015
Exploiting similarities among languages for machine translation
T Mikolov, QV Le, I Sutskever
arXiv preprint arXiv:1309.4168, 2013
7642013
Grammar as a foreign language
O Vinyals, Ł Kaiser, T Koo, S Petrov, I Sutskever, G Hinton
Advances in neural information processing systems, 2773-2781, 2015
5912015
Learning recurrent neural networks with hessian-free optimization
J Martens, I Sutskever
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
4992011
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Articles 1–20