| Rectified linear units improve restricted boltzmann machines V Nair, GE Hinton Proceedings of the 27th international conference on machine learning (ICML
, 2010 | 25619 | 2010 |
| 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 | 1280 | 2010 |
| The CIFAR-10 dataset A Krizhevsky, V Nair, G Hinton online: http://www. cs. toronto. edu/kriz/cifar. html 55 (5), 2, 2014 | 962 | 2014 |
| 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 | 484 | 2009 |
| 3D object recognition with deep belief nets V Nair, GE Hinton Advances in neural information processing systems 22, 2009 | 450 | 2009 |
| Proceedings of the 27th international conference on machine learning (ICML-10) V Nair, GE Hinton Rectified linear units improve Restricted Boltzmann machines, 1-8, 2010 | 290 | 2010 |
| Solving mixed integer programs using neural networks V Nair, S Bartunov, F Gimeno, I Von Glehn, P Lichocki, I Lobov, ... arXiv preprint arXiv:2012.13349, 2020 | 268 | 2020 |
| 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 | 189 | 2004 |
| Cifar-10 (canadian institute for advanced research). 2009 A Krizhevsky, V Nair, G Hinton URL http://www. cs. toronto. edu/kriz/cifar. html 5, 6, 2009 | 158 | 2009 |
| Learning hierarchical similarity metrics N Verma, D Mahajan, S Sellamanickam, V Nair 2012 IEEE conference on computer vision and pattern recognition, 2280-2287, 2012 | 156 | 2012 |
| 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 | 122 | 2010 |
| Implicit mixtures of restricted Boltzmann machines V Nair, GE Hinton Advances in neural information processing systems 21, 2008 | 114 | 2008 |
| The CIFAR-10 dataset (2014) A Krizhevsky, V Nair, G Hinton URL https://www. cs. toronto. edu/kriz/cifar. html, 2017 | 107 | 2017 |
| 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 | 104 | 2011 |
| Cifar-10 A Krizhevsky, V Nair, G Hinton Canadian Institute for Advanced Research 5, 4, 2009 | 101 | 2009 |
| Lateral movement detection RSS Kumar, NSK Vu, M DiPlacido, V Nair, A Das, M Swann, K Selvaraj, ... US Patent 9,591,006, 2017 | 93 | 2017 |
| Inferring motor programs from images of handwritten digits V Nair, GE Hinton Advances in neural information processing systems 18, 2005 | 88 | 2005 |
| An FPGA-based people detection system V Nair, PO Laprise, JJ Clark EURASIP Journal on Advances in Signal Processing 2005, 1-15, 2005 | 73 | 2005 |
| Reinforced genetic algorithm learning for optimizing computation graphs A Paliwal, F Gimeno, V Nair, Y Li, M Lubin, P Kohli, O Vinyals arXiv preprint arXiv:1905.02494, 2019 | 72 | 2019 |
| Mimicking go experts with convolutional neural networks I Sutskever, V Nair Artificial Neural Networks-ICANN 2008: 18th International Conference, Prague
, 2008 | 63 | 2008 |
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoPatvirtintas el. paštas cs.toronto.edu
