Nitish Srivastava
Nitish Srivastava
Research Scientist, Apple
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
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
314302014
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
69462012
Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
T Tieleman, G Hinton
COURSERA: Neural networks for machine learning 4 (2), 26-31, 2012
48882012
Unsupervised learning of video representations using lstms
N Srivastava, E Mansimov, R Salakhudinov
International conference on machine learning, 843-852, 2015
21612015
Multimodal Learning with Deep Boltzmann Machines.
N Srivastava, R Salakhutdinov
NIPS 1, 2, 2012
13672012
Neural networks for machine learning lecture 6a overview of mini-batch gradient descent
G Hinton, N Srivastava, K Swersky
Cited on 14 (8), 2, 2012
679*2012
Multimodal learning with deep Boltzmann machines.
N Srivastava, R Salakhutdinov
J. Mach. Learn. Res. 15 (1), 2949-2980, 2014
3652014
Improving neural networks with dropout
N Srivastava
University of Toronto 182 (566), 7, 2013
2652013
Discriminative Transfer Learning with Tree-based Priors.
N Srivastava, R Salakhutdinov
NIPS 3 (4), 8, 2013
2372013
Lecture 6a overview of mini–batch gradient descent
G Hinton, N Srivastava, K Swersky
Coursera Lecture slides https://class. coursera. org/neuralnets-2012-001 …, 2012
2272012
Exploiting image-trained CNN architectures for unconstrained video classification
S Zha, F Luisier, W Andrews, N Srivastava, R Salakhutdinov
arXiv preprint arXiv:1503.04144, 2015
2222015
Modeling documents with deep boltzmann machines
N Srivastava, RR Salakhutdinov, GE Hinton
arXiv preprint arXiv:1309.6865, 2013
2052013
Learning representations for multimodal data with deep belief nets
N Srivastava, R Salakhutdinov
International conference on machine learning workshop 79, 3, 2012
1972012
Rmsprop: Divide the gradient by a running average of its recent magnitude
G Hinton, N Srivastava, K Swersky
Neural networks for machine learning, Coursera lecture 6e, 13, 2012
1582012
Improving neural networks by preventing co-adaptation of feature detectors. arXiv 2012
GE Hinton, N Srivastava, A Krizhevsky, I Sutskever, RR Salakhutdinov
arXiv preprint arXiv:1207.0580, 0
151
Learning generative models with visual attention
Y Tang, N Srivastava, R Salakhutdinov
arXiv preprint arXiv:1312.6110, 2013
962013
Enriching textbooks through data mining
R Agrawal, S Gollapudi, K Kenthapadi, N Srivastava, R Velu
Proceedings of the First ACM Symposium on Computing for Development, 1-9, 2010
592010
Sutskever Ilya and Salakhutdinov, Ruslan 2014
N Srivastava, G Hinton, A Krizhevsky
Dropout: a simple way to prevent neural networks from overfitting The …, 0
58
System and method for addressing overfitting in a neural network
GE Hinton, A Krizhevsky, I Sutskever, N Srivastva
US Patent 9,406,017, 2016
572016
Initialization strategies of spatio-temporal convolutional neural networks
E Mansimov, N Srivastava, R Salakhutdinov
arXiv preprint arXiv:1503.07274, 2015
382015
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