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Alex Krizhevsky
Alex Krizhevsky
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Imagenet classification with deep convolutional neural networks
A Krizhevsky, I Sutskever, GE Hinton
Advances in neural information processing systems 25, 2012
1079972012
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
357452014
Learning multiple layers of features from tiny images
A Krizhevsky, G Hinton
153292009
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
78062012
Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
S Levine, P Pastor, A Krizhevsky, J Ibarz, D Quillen
The International journal of robotics research 37 (4-5), 421-436, 2018
18932018
Transforming auto-encoders
GE Hinton, A Krizhevsky, SD Wang
International conference on artificial neural networks, 44-51, 2011
12362011
Advances in neural information processing systems
A Krizhevsky, I Sutskever, GE Hinton, F Pereira, CJC Burges, L Bottou, ...
11562012
One weird trick for parallelizing convolutional neural networks
A Krizhevsky
arXiv preprint arXiv:1404.5997, 2014
10222014
Convolutional deep belief networks on cifar-10
A Krizhevsky, G Hinton
Unpublished manuscript 40 (7), 1-9, 2010
6182010
The CIFAR-10 dataset
A Krizhevsky, V Nair, G Hinton
online: http://www. cs. toronto. edu/kriz/cifar. html 55 (5), 2014
5872014
Cifar-10 (canadian institute for advanced research)
A Krizhevsky, V Nair, G Hinton
URL http://www. cs. toronto. edu/kriz/cifar. html 5 (4), 1, 2010
5422010
Learning multiple layers of features from tiny images.(2009)
A Krizhevsky, G Hinton
5042009
Using very deep autoencoders for content-based image retrieval.
A Krizhevsky, GE Hinton
ESANN 1, 2, 2011
4702011
Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst
M Bansal, A Krizhevsky, A Ogale
arXiv preprint arXiv:1812.03079, 2018
4252018
Factored 3-way restricted boltzmann machines for modeling natural images
MA Ranzato, A Krizhevsky, G Hinton
Proceedings of the thirteenth international conference on artificial …, 2010
2782010
Real-time pedestrian detection with deep network cascades
A Angelova, A Krizhevsky, V Vanhoucke, A Ogale, D Ferguson
2732015
Cifar-10 and cifar-100 datasets
A Krizhevsky, V Nair, G Hinton
URl: https://www. cs. toronto. edu/kriz/cifar. html 6 (1), 1, 2009
2552009
Imagenet classification with deep convolutional
A Krizhevsky, I Sutskever, GE Hinton
Neural Netw 60, 84-90, 2017
2032017
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
1852012
Imagenet classification with deep convolutional neural networks
GE Hinton, A Krizhevsky, I Sutskever
Advances in neural information processing systems 25 (1106-1114), 1, 2012
1372012
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