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Ilya Sutskever
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#	Item
21	Charlie Tang Ilya Sutskever Department of Computer Science, University of Toronto, Canada Data Normalization in the Learning Add to Reading List Source URL: www.cs.toronto.edu - Date: 2012-04-09 23:37:47
22	Generating Text with Recurrent Neural Networks Ilya Sutskever James Martens Geoffrey Hinton University of Toronto, 6 King’s College Rd., Toronto, ON M5S 3G4 CANADA Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2011-05-11 22:05:53 Science Recurrent neural network PAQ Feedforward neural network Boltzmann machine Backpropagation through time Backpropagation Types of artificial neural networks Long short term memory Neural networks Cybernetics Neuroscience
23	Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Add to Reading List Source URL: cs.nyu.edu Language: English - Date: 2013-12-22 10:44:11 Cybernetics Science Econometrics Network architecture Backpropagation Generalization error Supervised learning Artificial neuron Softmax activation function Neural networks Machine learning Computational neuroscience
24	T RAINING R ECURRENT N EURAL N ETWORKS by Ilya Sutskever Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2013-01-10 22:14:39 Science Boltzmann machine Recurrent neural network Artificial neural network Geoffrey Hinton Autoencoder Feedforward neural network Conference on Neural Information Processing Systems Backpropagation Neural networks Machine learning Cybernetics
25	Cardinality Restricted Boltzmann Machines Kevin Swersky Daniel Tarlow Ilya Sutskever Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-11-13 03:36:53 Networks Mathematics Applied mathematics Computational neuroscience Boltzmann machine Belief propagation Bayesian network Machine learning Sparse matrix Neural networks Statistics Graphical models
26	ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky Ilya Sutskever Geoffrey Hinton University of Toronto Add to Reading List Source URL: image-net.org Language: English - Date: 2014-02-08 22:41:26 Mathematics Electronics Econometrics Network architecture Networks Filter Linear Feedforward neural network Types of artificial neural networks Neural networks Computational neuroscience Cybernetics
27	Using matrices to model symbolic relationships Ilya Sutskever and Geoffrey Hinton University of Toronto {ilya, hinton}@cs.utoronto.ca Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2009-01-10 14:52:50 Matrices Matrix theory Matrix Function Logical matrix Algebra Linear algebra Mathematics
28	Using matrices to model symbolic relationships Ilya Sutskever and Geoffrey Hinton University of Toronto {ilya, hinton}@cs.utoronto.ca Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2009-01-10 14:32:43 Matrices Matrix theory Matrix Function Logical matrix Algebra Linear algebra Mathematics
29	Estimating the Hessian by Back-propagating Curvature James Martens Ilya Sutskever Kevin Swersky Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:54 Matrices Differential calculus Hessian matrix Morse theory Multivariable calculus Matrix Automatic differentiation Derivative Symmetric matrix Mathematical analysis Calculus Mathematics
30	ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky Ilya Sutskever Geoffrey Hinton University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-10-19 10:59:44 Mathematics Electronics Econometrics Network architecture Networks Filter Linear Feedforward neural network Types of artificial neural networks Neural networks Computational neuroscience Cybernetics