Vinod Nair
Vinod Nair
Research Scientist, DeepMind
Verified email at google.com
TitleCited byYear
Rectified linear units improve restricted boltzmann machines
V Nair, GE Hinton
Proceedings of the 27th international conference on machine learning (ICML …, 2010
67832010
3D object recognition with deep belief nets
V Nair, GE Hinton
Advances in neural information processing systems, 1339-1347, 2009
3332009
The CIFAR-10 dataset
A Krizhevsky, V Nair, G Hinton
online: http://www. cs. toronto. edu/kriz/cifar. html 55, 2014
1772014
An unsupervised, online learning framework for moving object detection
V Nair, JJ Clark
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
1492004
Automated visual surveillance using hidden markov models
VNJJ Clark
International Conference on Vision Interface, 88-93, 2002
992002
Implicit mixtures of restricted Boltzmann machines
V Nair, GE Hinton
Advances in neural information processing systems, 1145-1152, 2009
922009
Learning hierarchical similarity metrics
N Verma, D Mahajan, S Sellamanickam, V Nair
2012 IEEE conference on computer vision and pattern recognition, 2280-2287, 2012
882012
MEDUSA: MEtamorphic malware dynamic analysis usingsignature from API
VP Nair, H Jain, YK Golecha, MS Gaur, V Laxmi
Proceedings of the 3rd International Conference on Security of Information …, 2010
832010
Cifar-10 (canadian institute for advanced research)
A Krizhevsky, V Nair, G Hinton
URL http://www. cs. toronto. edu/kriz/cifar. html 8, 2010
822010
A joint learning framework for attribute models and object descriptions
D Mahajan, S Sellamanickam, V Nair
2011 International Conference on Computer Vision, 1227-1234, 2011
792011
Inferring motor programs from images of handwritten digits
V Nair, GE Hinton
Advances in neural information processing systems, 515-522, 2006
762006
An FPGA-based people detection system
V Nair, PO Laprise, JJ Clark
EURASIP journal on applied signal processing 2005, 1047-1061, 2005
602005
Cifar-10 and cifar-100 datasets
A Krizhevsky, V Nair, G Hinton
URl: https://www. cs. toronto. edu/kriz/cifar. html 6, 2009
512009
Mimicking go experts with convolutional neural networks
I Sutskever, V Nair
International Conference on Artificial Neural Networks, 101-110, 2008
342008
Advances in neural information processing systems
GE Hinton, RS Zemel, J Cowan, G Tesauro, J Alspector
Gene prediction using semi-Markov conditional random fields, 1141-1148, 2006
322006
Analysis-by-synthesis by learning to invert generative black boxes
V Nair, J Susskind, GE Hinton
International Conference on Artificial Neural Networks, 971-981, 2008
312008
Learning a hierarchical monitoring system for detecting and diagnosing service issues
V Nair, A Raul, S Khanduja, V Bahirwani, Q Shao, S Sellamanickam, ...
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
142015
Visual object recognition using generative models of images
V Nair
University of Toronto, 2010
62010
A unified approach to learning task-specific bit vector representations for fast nearest neighbor search
V Nair, D Mahajan, S Sellamanickam
Proceedings of the 21st international conference on World Wide Web, 929-938, 2012
42012
REGAL: Transfer Learning For Fast Optimization of Computation Graphs
A Paliwal, F Gimeno, V Nair, Y Li, M Lubin, P Kohli, O Vinyals
arXiv preprint arXiv:1905.02494, 2019
22019
The system can't perform the operation now. Try again later.
Articles 1–20