Vinod Nair I am currently a researcher at Yahoo! Labs Bangalore. I got my PhD in machine learning from the University of Toronto in January 2010, working with Prof. Geoffrey Hinton. My research interests are in machine learning and computer vision. For more details, see my CV.

Thesis

• Visual Object Recognition Using Generative Models of Images. 2010. Ph. D. Thesis,
  Department of Computer Science, University of Toronto. [PDF]
  

Publications

• Learning Hierarchical Similarity Metrics,
  Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, and Vinod Nair, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012, Providence, USA.
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• A Unified Approach to Learning Task-Specific Bit Vector Representations for Fast Nearest Neighbor Search,
  Vinod Nair, Dhruv Mahajan, and Sundararajan Sellamanickam, World Wide Web Conference (WWW) 2012, Lyon, France.
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• A Joint Learning Framework for Attribute Models and Object Descriptions,
  Dhruv Mahajan, Sundararajan Sellamanickam, and Vinod Nair, International Conference on Computer Vision (ICCV) 2011, Barcelona, Spain.
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• Rectified Linear Units Improve Restricted Boltzmann Machines,
  Vinod Nair and Geoffrey E. Hinton, International Conference on Machine Learning (ICML) 2010, Haifa, Israel.
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• 3D Object Recognition Using Deep Belief Nets,
  Vinod Nair and Geoffrey E. Hinton, Advances in Neural Information Processing Systems 22 (NIPS), 2009, Vancouver, Canada.
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• Implicit Mixtures of Restricted Boltzmann Machines,
  Vinod Nair and Geoffrey E. Hinton, Advances in Neural Information Processing Systems 21 (NIPS), 2008, Vancouver, Canada.
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• Analysis-by-Synthesis by Learning to Invert Generative Black Boxes,
  Vinod Nair, Josh Susskind, and Geoffrey E. Hinton, International Conference on Artificial Neural Networks (ICANN), 2008, Prague, Czech Republic.
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• Mimicking Go Experts Using Convolutional Neural Networks,
  Ilya Sutskever and Vinod Nair, International Conference on Artificial Neural Networks (ICANN), 2008, Prague, Czech Republic.
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• Inferring Motor Programs from Images of Handwritten Digits,
  Geoffrey E. Hinton and Vinod Nair, Advances in Neural Information Processing Systems 19 (NIPS) 2006, Vancouver, Canada.
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• An FPGA-based people detection system,
  Vinod Nair, Pierre-Olivier Laprise, and James J. Clark, EURASIP Journal on Applied Signal Processing, Vol. 7, pp 1047-1061, 2005.
  
  
• An Unsupervised, Online Learning Framework for Moving Object Detection,
  Vinod Nair and James J. Clark, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2004, Washington, D.C., USA.
  
  
• Automated Visual Surveillance Using Hidden Markov Models,
  Vinod Nair and James J. Clark, 15th Vision Interface Conference, 2002, Calgary, Canada.
  
  

Teaching