ImageNet Classification Classification with Deep Convolutional Convolutional Neural Networks

Alex Krizhevsky Krizhevsky , Ilya Sutskever Sutskever , Geoffrey E Hinton
Smpte Journal

One weird trick for parallelizing convolutional neural networks

Alex Krizhevsky
arXiv: Neural and Evolutionary Computing

1,215
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
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images

Geoffrey E. Hinton , Alex Krizhevsky , Marc'Aurelio Ranzato
international conference on artificial intelligence and statistics 621 -628

287
2010
ImageNet Classification with Deep Convolutional Neural Networks

Ilya Sutskever , Geoffrey E. Hinton , Alex Krizhevsky
neural information processing systems 25 1097 -1105

129,368
2012
Using very deep autoencoders for content-based image retrieval.

Geoffrey E. Hinton , Alex Krizhevsky
the european symposium on artificial neural networks

523
2011
Learning to Drive by Observing the Best and Synthesizing the Worst

Alex Krizhevsky , Abhijit Ogale , Mayank Bansal

2018
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

Alex Krizhevsky , Abhijit S. Ogale , Mayank Bansal
robotics science and systems 15

557
2019
20,688
2009
Pedestrian detection with a Large-Field-Of-View deep network

Anelia Angelova , Alex Krizhevsky , Vincent Vanhoucke
international conference on robotics and automation 704 -711

58
2015
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

Sergey Levine , Peter Pastor , Alex Krizhevsky , Julian Ibarz
The International Journal of Robotics Research 37 421 -436

2,173
2018
ImageNet classification with deep convolutional neural networks

Alex Krizhevsky , Ilya Sutskever , Geoffrey E. Hinton
Communications of The ACM 60 ( 6) 84 -90

165
2017
Transforming auto-encoders

Geoffrey E. Hinton , Alex Krizhevsky , Sida D. Wang
international conference on artificial neural networks 44 -51

1,444
2011
Convolutional deep belief networks on cifar-10

Alex Krizhevsky , Geoff Hinton
Unpublished manuscript 40 ( 7) 1 -9

712
2010
Advances in neural information processing systems

Alex Krizhevsky ,
(No Title) 1097

1,511
2012
The CIFAR-10 dataset

Alex Krizhevsky , Vinod Nair , Geoffrey Hinton
online: http://www. cs. toronto. edu/kriz/cifar. html 55 ( 5) 2 -2

2,522
2014
Gradient-based learning applied to document recognition

Alex Krizhevsky , Ilya Sutskever , Geoffrey E Hinton
Commun. Acm 60 84 -90

485
2017
Cifar-10 (canadian institute for advanced research). 2009

Alex Krizhevsky , Vinod Nair , Geoffrey Hinton
URL http://www. cs. toronto. edu/kriz/cifar. html 5

149
2009
2012 AlexNet

Alex Krizhevsky , Ilya Sutskever , Geoffrey E Hinton
Adv. Neural Inf. Process. Syst 1 -9

109
2012