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Vinod Nair
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2020 – today
- 2023
- [i8]David Warde-Farley, Vinod Nair, Yujia Li, Ivan Lobov, Felix Gimeno, Simon Osindero:
Solving MaxSAT with Matrix Multiplication. CoRR abs/2311.02101 (2023) - 2021
- [i7]Nicolas Sonnerat, Pengming Wang, Ira Ktena, Sergey Bartunov, Vinod Nair:
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs. CoRR abs/2107.10201 (2021) - [i6]Michael Schaarschmidt, Dominik Grewe, Dimitrios Vytiniotis, Adam Paszke, Georg Stefan Schmid, Tamara Norman, James Molloy, Jonathan Godwin, Norman Alexander Rink, Vinod Nair, Dan Belov:
Automap: Towards Ergonomic Automated Parallelism for ML Models. CoRR abs/2112.02958 (2021) - 2020
- [c15]Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals:
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs. ICLR 2020 - [i5]Vinod Nair, Sergey Bartunov, Felix Gimeno
, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols:
Solving Mixed Integer Programs Using Neural Networks. CoRR abs/2012.13349 (2020)
2010 – 2019
- 2019
- [i4]Aditya Paliwal
, Felix Gimeno
, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals:
REGAL: Transfer Learning For Fast Optimization of Computation Graphs. CoRR abs/1905.02494 (2019) - [i3]Xujie Si, Yujia Li, Vinod Nair, Felix Gimeno
:
Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving. CoRR abs/1912.05906 (2019) - 2018
- [c14]Vinod Nair, Dj Dvijotham, Iain Dunning, Oriol Vinyals:
Learning Fast Optimizers for Contextual Stochastic Integer Programs. UAI 2018: 591-600 - 2015
- [c13]Shwetabh Khanduja, Vinod Nair, S. Sundararajan, Ameya Raul
, Ajesh Babu Shaj, S. Sathiya Keerthi:
Near Real-Time Service Monitoring Using High-Dimensional Time Series. ICDM Workshops 2015: 1624-1627 - [c12]Vinod Nair, Ameya Raul
, Shwetabh Khanduja, Vikas Bahirwani, Sundararajan Sellamanickam, S. Sathiya Keerthi, Steve Herbert, Sudheer Dhulipalla:
Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues. KDD 2015: 2029-2038 - 2013
- [i2]Rahul Kidambi, Vinod Nair, Sundararajan Sellamanickam, S. Sathiya Keerthi:
A Structured Prediction Approach for Missing Value Imputation. CoRR abs/1311.2137 (2013) - [i1]Vinod Nair, Rahul Kidambi, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke, Vijay Narayanan:
A Quantitative Evaluation Framework for Missing Value Imputation Algorithms. CoRR abs/1311.2276 (2013) - 2012
- [c11]Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, Vinod Nair:
Learning hierarchical similarity metrics. CVPR 2012: 2280-2287 - [c10]Vinod Nair, Dhruv Kumar Mahajan, Sundararajan Sellamanickam:
A unified approach to learning task-specific bit vector representations for fast nearest neighbor search. WWW 2012: 929-938 - 2011
- [c9]Dhruv Kumar Mahajan, Sundararajan Sellamanickam, Vinod Nair:
A joint learning framework for attribute models and object descriptions. ICCV 2011: 1227-1234 - 2010
- [b1]Vinod Nair:
Visual Object Recognition Using Generative Models of Images. University of Toronto, Canada, 2010 - [c8]Vinod Nair, Geoffrey E. Hinton:
Rectified Linear Units Improve Restricted Boltzmann Machines. ICML 2010: 807-814
2000 – 2009
- 2009
- [c7]Vinod Nair, Geoffrey E. Hinton:
3D Object Recognition with Deep Belief Nets. NIPS 2009: 1339-1347 - 2008
- [c6]Ilya Sutskever, Vinod Nair:
Mimicking Go Experts with Convolutional Neural Networks. ICANN (2) 2008: 101-110 - [c5]Vinod Nair, Joshua M. Susskind, Geoffrey E. Hinton:
Analysis-by-Synthesis by Learning to Invert Generative Black Boxes. ICANN (1) 2008: 971-981 - [c4]Vinod Nair, Geoffrey E. Hinton:
Implicit Mixtures of Restricted Boltzmann Machines. NIPS 2008: 1145-1152 - 2005
- [j1]Vinod Nair, Pierre-Olivier Laprise, James J. Clark
:
An FPGA-Based People Detection System. EURASIP J. Adv. Signal Process. 2005(7): 1047-1061 (2005) - [c3]Geoffrey E. Hinton, Vinod Nair:
Inferring Motor Programs from Images of Handwritten Digits. NIPS 2005: 515-522 - 2004
- [c2]Vinod Nair, James J. Clark:
An Unsupervised, Online Learning Framework for Moving Object Detection. CVPR (2) 2004: 317-324 - 2001
- [c1]Vinod Nair, Martin Erdmann, Shridhar Mubaraq Mishra, Juraj Povazanec, Amit Shaligram, Chun Feng Hu:
A single chip terminal solution for high-end telephone applications. CICC 2001: 417-420
Coauthor Index
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