| 2020 | ICLR | Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs. | Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals |
| 2018 | UAI | Learning Fast Optimizers for Contextual Stochastic Integer Programs. | Vinod Nair, Dj Dvijotham, Iain Dunning, Oriol Vinyals |
| 2015 | ICDM | Near Real-Time Service Monitoring Using High-Dimensional Time Series. | Shwetabh Khanduja, Vinod Nair, S. Sundararajan, Ameya Raul, Ajesh Babu Shaj, S. Sathiya Keerthi |
| 2015 | KDD | Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues. | Vinod Nair, Ameya Raul, Shwetabh Khanduja, Vikas Bahirwani, Sundararajan Sellamanickam, S. Sathiya Keerthi, Steve Herbert, Sudheer Dhulipalla |
| 2012 | CVPR | Learning hierarchical similarity metrics. | Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, Vinod Nair |
| 2012 | WWW | A unified approach to learning task-specific bit vector representations for fast nearest neighbor search. | Vinod Nair, Dhruv Kumar Mahajan, Sundararajan Sellamanickam |
| 2011 | ICCV | A joint learning framework for attribute models and object descriptions. | Dhruv Kumar Mahajan, Sundararajan Sellamanickam, Vinod Nair |
| 2010 | ICML | Rectified Linear Units Improve Restricted Boltzmann Machines. | Vinod Nair, Geoffrey E. Hinton |
| 2008 | ICANN | Analysis-by-Synthesis by Learning to Invert Generative Black Boxes. | Vinod Nair, Joshua M. Susskind, Geoffrey E. Hinton |
| 2008 | ICANN | Mimicking Go Experts with Convolutional Neural Networks. | Ilya Sutskever, Vinod Nair |
| 2004 | CVPR | An Unsupervised, Online Learning Framework for Moving Object Detection. | Vinod Nair, James J. Clark |