引用次数
引用: 72,493
H-指数: 25
I10-指数 : 28
出版物: 61
Salakhutdinov, 2014 Srivastava N., Hinton G., Krizhevsky A., Sutskever I., Salakhutdinov R
Hinton Srivastava
Dropout: A simple way to prevent neural networks from overfitting, The Journal of Machine Learning Research 15 ( 1) 1929 -1958
156
2014
Improving neural networks by preventing co-adaptation of feature detectors
Ilya Sutskever , Geoffrey E. Hinton , Alex Krizhevsky , Ruslan R. Salakhutdinov
arXiv: Neural and Evolutionary Computing
9,604
2012
Dropout: a simple way to prevent neural networks from overfitting
Ilya Sutskever , Geoffrey Hinton , Alex Krizhevsky , Ruslan Salakhutdinov
Journal of Machine Learning Research 15 ( 1) 1929 -1958
41,294
2014
Discriminative Transfer Learning with Tree-based Priors
Ruslan R Salakhutdinov , Nitish Srivastava
neural information processing systems 26 2094 -2102
263
2013
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava , Ruslan Salakhudinov , Elman Mansimov
international conference on machine learning 843 -852
2,689
2015
Multimodal Learning with Deep Boltzmann Machines
Ruslan R Salakhutdinov , Nitish Srivastava
neural information processing systems 25 2222 -2230
1,913
2012
Improving Neural Networks with Dropout
Nitish Srivastava
343
2013
Fast Inference and Learning for Modeling Documents with a Deep Boltzmann Machine
Geoffrey Hinton , Ruslan Salakhutdinov , Nitish Srivastava
1
2013
Learning Representations for Multimodal Data with Deep Belief Nets
Ruslan Salakhutdinov , Nitish Srivastava
232
2012
Deep Learning Models for Unsupervised and Transfer Learning
Nitish Srivastava
3
2017
PARTIALLY SHARED NEURAL NETWORKS FOR MULTIPLE TASKS
Ruslan Salakhutdinov , Yichuan Tang , Hanlin Goh , Nitish Srivastava
10
2018
Learning Generative Models with Visual Attention
Ruslan Salakhutdinov , Yichuan Tang , Nitish Srivastava
arXiv: Computer Vision and Pattern Recognition
107
2013
Modeling Documents with Deep Boltzmann Machines
Geoffrey E. Hinton , Ruslan R Salakhutdinov , Nitish Srivastava
arXiv: Learning
216
2013
An Attention Free Transformer
Shuangfei Zhai , Walter Talbott , Nitish Srivastava , Chen Huang
24
2021
Unconstrained Scene Generation with Locally Conditioned Radiance Fields.
Joshua M. Susskind , Miguel Ángel Bautista , Nitish Srivastava , Graham W. Taylor
arXiv: Computer Vision and Pattern Recognition
54
2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning.
Joshua M. Susskind , Ruslan Salakhutdinov , Hanlin Goh , Shuangfei Zhai
arXiv: Learning
63
2021
Modeling Inter-individual Variability in Sugar Beet Populations
Philippe de Reffye , Sébastien Lemaire , Nitish Srivastava , Fabienne Maupas
2009 Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications 270 -276
7
2009
Enriching textbooks through data mining
Rakesh Agrawal , Sreenivas Gollapudi , Krishnaram Kenthapadi , Nitish Srivastava
acm symposium on computing and development 19
38
2010
Neural networks for machine learning lecture 6a overview of mini-batch gradient descent
Geoffrey Hinton , Nitish Srivastava , Kevin Swersky
Cited on 14 ( 8) 2
992
2012
Efficient embedding of semantic similarity in control policies via entangled bisimulation
Martin Bertran , Walter Talbott , Nitish Srivastava , Joshua Susskind
arXiv preprint arXiv:2201.12300
2
2022