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TabPert: An Effective Platform for Tabular Perturbation


Aug 02, 2021
Nupur Jain, Vivek Gupta, Anshul Rai, Gaurav Kumar

* 10 pages, 5 figure, 7 tables 

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To Raise or Not To Raise: The Autonomous Learning Rate Question


Jun 16, 2021
Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli


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Automating Augmentation Through Random Unidimensional Search


Jun 16, 2021
Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli


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Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora


Mar 11, 2021
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur

* 10 pages, 2 figures 

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Learning Policies for Multilingual Training of Neural Machine Translation Systems


Mar 11, 2021
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur

* 7 pages, 2 figures 

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Solving Physics Puzzles by Reasoning about Paths


Nov 14, 2020
Augustin Harter, Andrew Melnik, Gaurav Kumar, Dhruv Agarwal, Animesh Garg, Helge Ritter

* 1st NeurIPS workshop on Interpretable Inductive Biases and Physically Structured Learning (2020) 

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AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue


Dec 04, 2019
Gaurav Kumar, Rishabh Joshi, Jaspreet Singh, Promod Yenigalla


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FastEstimator: A Deep Learning Library for Fast Prototyping and Productization


Nov 18, 2019
Xiaomeng Dong, Junpyo Hong, Hsi-Ming Chang, Michael Potter, Aritra Chowdhury, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Rajesh Tamada, Gaurav Kumar, Caroline Favart, V. Ratna Saripalli, Gopal Avinash


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Curriculum Learning for Domain Adaptation in Neural Machine Translation


May 14, 2019
Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh


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