Alex Krizhevsky Google Scholar: h-index, Total Citations, and Citation Map

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• Imagenet classification with deep convolutional neural networks

  2012·200621 citations

  Advances in neural information processing systems 25, 2012

• ImageNet Classification with Deep Convolutional Neural Networks

  2012·193277 citations

  Advances in Neural Information Processing Systems 25 (NIPS 2012)

• Dropout: a simple way to prevent neural networks from overfitting

  2014·66013 citations

  The journal of machine learning research 15 (1), 1929-1958, 2014

• Learning multiple layers of features from tiny images

  2009·48698 citations

• Improving neural networks by preventing co-adaptation of feature detectors

  2012·12666 citations

  arXiv preprint arXiv:1207.0580, 2012

• Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection

  2018·3423 citations

  The International journal of robotics research 37 (4-5), 421-436, 2018

• Advances in neural information processing systems

  2012·2624 citations

  (No Title), 1097, 2012

• Transforming auto-encoders

  2011·2085 citations

  International conference on artificial neural networks, 44-51, 2011

• Cifar-10 (canadian institute for advanced research)

  2010·1916 citations

  URL http://www. cs. toronto. edu/kriz/cifar. html 5 (4), 1, 2010

• One weird trick for parallelizing convolutional neural networks

  2014·1883 citations

  arXiv preprint arXiv:1404.5997, 2014

• Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst

  2018·1281 citations

  arXiv preprint arXiv:1812.03079, 2018

• The CIFAR-10 dataset

  2014·1217 citations

• Convolutional deep belief networks on cifar-10

  2010·1132 citations

  Unpublished manuscript 40 (7), 1-9, 2010

• Gradient-based learning applied to document recognition

  2017·1087 citations

  Commun. Acm 60, 84-90, 2017

• Cifar-10 and cifar-100 datasets

  2009·698 citations

  URl: https://www. cs. toronto. edu/kriz/cifar. html 6 (1), 1, 2009

• Using very deep autoencoders for content-based image retrieval.

  2011·623 citations

  ESANN 1, 2, 2011

• Imagenet classification with deep convolutional neural networks

  2012·382 citations

  Advances in neural information processing systems 25 (1106-1114), 1, 2012

• Real-time pedestrian detection with deep network cascades.

  2015·333 citations

  Bmvc 2, 4, 2015

• Factored 3-way restricted boltzmann machines for modeling natural images

  2010·304 citations

  Proceedings of the thirteenth international conference on artificial …, 2010

• Imagenet classification with deep convolutional neural networks. Advances in Neural Information Processing Systems, Curran Associates, Inc

  2012·273 citations

  Inc 25, 2012