Nitish Srivastava
Nitish Srivastava
Verified email at cs.toronto.edu - Homepage
TitleCited byYear
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
155132014
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
43912012
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
27792012
Multimodal learning with deep boltzmann machines
N Srivastava, RR Salakhutdinov
Advances in neural information processing systems, 2222-2230, 2012
12202012
Unsupervised learning of video representations using lstms
N Srivastava, E Mansimov, R Salakhudinov
International conference on machine learning, 843-852, 2015
11472015
Neural networks for machine learning lecture 6a overview of mini-batch gradient descent
G Hinton, N Srivastava, K Swersky
Cited on 14, 8, 2012
272*2012
Improving neural networks with dropout
N Srivastava
University of Toronto 182, 566, 2013
1722013
Modeling documents with deep boltzmann machines
N Srivastava, RR Salakhutdinov, GE Hinton
arXiv preprint arXiv:1309.6865, 2013
1672013
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
1592015
Discriminative transfer learning with tree-based priors
N Srivastava, RR Salakhutdinov
Advances in neural information processing systems, 2094-2102, 2013
1562013
Learning representations for multimodal data with deep belief nets
N Srivastava, R Salakhutdinov
International conference on machine learning workshop 79, 2012
1552012
Learning generative models with visual attention
Y Tang, N Srivastava, RR Salakhutdinov
Advances in Neural Information Processing Systems, 1808-1816, 2014
652014
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, 19, 2010
482010
Initialization strategies of spatio-temporal convolutional neural networks
E Mansimov, N Srivastava, R Salakhutdinov
arXiv preprint arXiv:1503.07274, 2015
262015
System and method for addressing overfitting in a neural network
GE Hinton, A Krizhevsky, I Sutskever, N Srivastva
US Patent 9,406,017, 2016
152016
Modeling inter-individual variability in sugar beet populations
P De Reffye, S Lemaire, N Srivastava, F Maupas, PH Cournède
2009 Third International Symposium on Plant Growth Modeling, Simulation …, 2009
102009
Inspection neural network for assessing neural network reliability
R Hu, R Salakhutdinov, N Srivastava, Y Tang
US Patent App. 15/828,408, 2018
32018
Fast inference and learning for modeling documents with a deep boltzmann machine
N Srivastava, R Salakhutdinov, G Hinton
22013
Deep Learning Models for Unsupervised and Transfer Learning
N Srivastava
12017
System and method for addressing overfitting in a neural network
GE Hinton, A Krizhevsky, I Sutskever, N Srivastava
US Patent 10,366,329, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–20