引用次数
引用: 508,853
H-指数: 91
I10-指数 : 128
出版物: 153
On the importance of initialization and momentum in deep learning
Ilya Sutskever , Geoffrey Hinton , James Martens , George Dahl
international conference on machine learning 1139 -1147
5,111
2013
Generating Text with Recurrent Neural Networks
Ilya Sutskever , Geoffrey E. Hinton , James Martens
international conference on machine learning 1017 -1024
1,776
2011
An Empirical Exploration of Recurrent Network Architectures
Ilya Sutskever , Rafal Jozefowicz , Wojciech Zaremba , Wojciech Zaremba
international conference on machine learning 2342 -2350
2,059
2015
Learning Recurrent Neural Networks with Hessian-Free Optimization
Ilya Sutskever , James Martens
international conference on machine learning 1033 -1040
739
2011
On the Convergence Properties of Contrastive Divergence
Ilya Sutskever , Tijmen Tieleman
international conference on artificial intelligence and statistics 789 -795
137
2010
Visualizing Similarity Data with a Mixture of Maps
Ilya Sutskever , Andriy Mnih , Geoffrey E. Hinton , James Cook
international conference on artificial intelligence and statistics 67 -74
74
2007
Parallelizable Sampling of Markov Random Fields
Ilya Sutskever , James Martens
international conference on artificial intelligence and statistics 517 -524
11
2010
Learning to Execute
Ilya Sutskever , Wojciech Zaremba
arXiv: Neural and Evolutionary Computing
584
2014
Recurrent Neural Network Regularization
Ilya Sutskever , Wojciech Zaremba , Oriol Vinyals
arXiv: Neural and Evolutionary Computing
2,938
2014
Intriguing properties of neural networks
Joan Bruna , Christian Szegedy , Ilya Sutskever , Ian Goodfellow
arXiv: Computer Vision and Pattern Recognition
12,536
2013
Improving neural networks by preventing co-adaptation of feature detectors
Ilya Sutskever , Geoffrey E. Hinton , Alex Krizhevsky , Ruslan R. Salakhutdinov
arXiv: Neural and Evolutionary Computing
9,604
2012
Dropout: a simple way to prevent neural networks from overfitting
Ilya Sutskever , Geoffrey Hinton , Alex Krizhevsky , Ruslan Salakhutdinov
Journal of Machine Learning Research 15 ( 1) 1929 -1958
41,294
2014
Cardinality Restricted Boltzmann Machines
Kevin Swersky , Ilya Sutskever , Daniel Tarlow , Ruslan R Salakhutdinov
neural information processing systems 25 3293 -3301
29
2012
Modelling Relational Data using Bayesian Clustered Tensor Factorization
Ilya Sutskever , Ruslan R Salakhutdinov , Joshua B. Tenenbaum
neural information processing systems 22 1821 -1828
301
2009
Exploiting Similarities among Languages for Machine Translation
Ilya Sutskever , Tomas Mikolov , Quoc V. Le
arXiv: Computation and Language
1,647
2013
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever , Quoc V. Le , Oriol Vinyals
neural information processing systems 27 3104 -3112
21,424
2014
Using matrices to model symbolic relationship
Ilya Sutskever , Geoffrey E. Hinton
neural information processing systems 21 1593 -1600
20
2008
The Recurrent Temporal Restricted Boltzmann Machine
Ilya Sutskever , Geoffrey E. Hinton , Graham W. Taylor
neural information processing systems 21 1601 -1608
550
2008
Learning Multilevel Distributed Representations for High-Dimensional Sequences
Ilya Sutskever , Geoffrey E. Hinton
international conference on artificial intelligence and statistics 548 -555
176
2007
Distributed Representations of Words and Phrases and their Compositionality
Ilya Sutskever , Tomas Mikolov , Greg S Corrado , Kai Chen
neural information processing systems 26 3111 -3119
37,540
2013