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
147822014
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
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
26692012
Multimodal learning with deep boltzmann machines
N Srivastava, RR Salakhutdinov
Advances in neural information processing systems, 2222-2230, 2012
11902012
Unsupervised learning of video representations using lstms
N Srivastava, E Mansimov, R Salakhudinov
International conference on machine learning, 843-852, 2015
11152015
Neural networks for machine learning lecture 6a overview of mini-batch gradient descent
G Hinton, N Srivastava, K Swersky
Cited on 14, 8, 2012
254*2012
Improving neural networks with dropout
N Srivastava
University of Toronto 182, 566, 2013
1692013
Modeling documents with deep boltzmann machines
N Srivastava, RR Salakhutdinov, GE Hinton
arXiv preprint arXiv:1309.6865, 2013
1652013
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
1562015
Learning representations for multimodal data with deep belief nets
N Srivastava, R Salakhutdinov
International conference on machine learning workshop 79, 2012
1532012
Discriminative transfer learning with tree-based priors
N Srivastava, RR Salakhutdinov
Advances in neural information processing systems, 2094-2102, 2013
1522013
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
472010
Initialization strategies of spatio-temporal convolutional neural networks
E Mansimov, N Srivastava, R Salakhutdinov
arXiv preprint arXiv:1503.07274, 2015
262015
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
T2S-Tensor: Productively Generating High-Performance Spatial Hardware for Dense Tensor Computations
N Srivastava, H Rong, P Barua, G Feng, H Cao, Z Zhang, D Albonesi, ...
2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019
2019
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