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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
489942014
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
109572012
Unsupervised learning of video representations using lstms
N Srivastava, E Mansimov, R Salakhudinov
International conference on machine learning, 843-852, 2015
30942015
Multimodal learning with deep boltzmann machines
N Srivastava, RR Salakhutdinov
Advances in neural information processing systems 25, 2012
20702012
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
20242012
Improving neural networks with dropout
N Srivastava
University of Toronto 182 (566), 7, 2013
3882013
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, 2012
2902012
Discriminative transfer learning with tree-based priors
N Srivastava, RR Salakhutdinov
Advances in neural information processing systems 26, 2013
2802013
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
2742015
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
2562012
Learning representations for multimodal data with deep belief nets
N Srivastava, R Salakhutdinov
International conference on machine learning workshop 79 (10.1007), 978-1, 2012
2422012
Modeling documents with deep boltzmann machines
N Srivastava, RR Salakhutdinov, GE Hinton
arXiv preprint arXiv:1309.6865, 2013
2222013
Learning generative models with visual attention
C Tang, N Srivastava, RR Salakhutdinov
Advances in Neural Information Processing Systems 27, 2014
167*2014
Uncertainty weighted actor-critic for offline reinforcement learning
Y Wu, S Zhai, N Srivastava, J Susskind, J Zhang, R Salakhutdinov, H Goh
arXiv preprint arXiv:2105.08140, 2021
1442021
Salakhutdinov, 2014 Srivastava N., Hinton G., Krizhevsky A., Sutskever I., Salakhutdinov R
H Srivastava
Dropout: A simple way to prevent neural networks from overfitting, The …, 2014
1422014
Unconstrained scene generation with locally conditioned radiance fields
T DeVries, MA Bautista, N Srivastava, GW Taylor, JM Susskind
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1232021
System and method for addressing overfitting in a neural network
GE Hinton, A Krizhevsky, I Sutskever, N Srivastva
US Patent 9,406,017, 2016
892016
Capsules with inverted dot-product attention routing
YHH Tsai, N Srivastava, H Goh, R Salakhutdinov
arXiv preprint arXiv:2002.04764, 2020
882020
Geo rey E Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. Dropout: a simple way to prevent neural networks from over ing
N Srivastava
Journal of machine learning research 15 (1), 1929-1958, 2014
732014
An attention free transformer
S Zhai, W Talbott, N Srivastava, C Huang, H Goh, R Zhang, J Susskind
arXiv preprint arXiv:2105.14103, 2021
712021
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