Alex Krizhevsky
Alex Krizhevsky
Dessa
Verified email at dessa.com
TitleCited byYear
Imagenet classification with deep convolutional neural networks
A Krizhevsky, I Sutskever, GE Hinton
Advances in neural information processing systems, 1097-1105, 2012
552792012
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
172502014
Learning multiple layers of features from tiny images
A Krizhevsky, G Hinton
61992009
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
45872012
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
915*2018
Transforming auto-encoders
GE Hinton, A Krizhevsky, SD Wang
International conference on artificial neural networks, 44-51, 2011
5542011
One weird trick for parallelizing convolutional neural networks
A Krizhevsky
arXiv preprint arXiv:1404.5997, 2014
4582014
Advances in neural information processing systems
A Krizhevsky, I Sutskever, GE Hinton
Neural Information Processing Systems Foundation 1269, 2012
4022012
Using very deep autoencoders for content-based image retrieval.
A Krizhevsky, GE Hinton
ESANN 1, 2, 2011
3312011
Convolutional deep belief networks on cifar-10
A Krizhevsky, G Hinton
Unpublished manuscript 40 (7), 1-9, 2010
3272010
The cifar-10 dataset
A Krizhevsky, V Nair, G Hinton
online: http://www. cs. toronto. edu/kriz/cifar. html 55, 2014
2472014
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
2402010
Real-time pedestrian detection with deep network cascades
A Angelova, A Krizhevsky, V Vanhoucke, A Ogale, D Ferguson
1842015
Learning multiple layers of features from tiny images.(2009)
A Krizhevsky, G Hinton
1362009
Cifar-10 (canadian institute for advanced research)
A Krizhevsky, V Nair, G Hinton
URL http://www. cs. toronto. edu/kriz/cifar. html 8, 2010
1312010
Improving neural networks by preventing co-adaptation of feature detectors (2012)
GE Hinton, N Srivastava, A Krizhevsky, I Sutskever, RR Salakhutdinov
arXiv preprint arXiv:1207.0580 14, 2012
1302012
Pedestrian detection with a large-field-of-view deep network
A Angelova, A Krizhevsky, V Vanhoucke
2015 IEEE international conference on robotics and automation (ICRA), 704-711, 2015
832015
Cifar-10 and cifar-100 datasets
A Krizhevsky, V Nair, G Hinton
URl: https://www. cs. toronto. edu/kriz/cifar. html 6, 2009
732009
Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst
M Bansal, A Krizhevsky, A Ogale
arXiv preprint arXiv:1812.03079, 2018
722018
Imagenet classification with deep convolutional neural networks
GE Hinton, A Krizhevsky, I Sutskever
Advances in neural information processing systems 25, 1106-1114, 2012
612012
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