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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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Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification


Apr 04, 2019
Reno Kriz, João Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch

* 11 pages, North American Association of Computational Linguistics (NAACL 2019) 

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Reinforcement Learning based Curriculum Optimization for Neural Machine Translation


Feb 28, 2019
Gaurav Kumar, George Foster, Colin Cherry, Maxim Krikun

* NAACL 2019 short paper. Reviewer comments not yet addressed 

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An Empirical Exploration of Curriculum Learning for Neural Machine Translation


Nov 02, 2018
Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J Martindale, Paul McNamee, Kevin Duh, Marine Carpuat


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Using of heterogeneous corpora for training of an ASR system


Jun 01, 2017
Jan Trmal, Gaurav Kumar, Vimal Manohar, Sanjeev Khudanpur, Matt Post, Paul McNamee


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DyNet: The Dynamic Neural Network Toolkit


Jan 15, 2017
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin

* 33 pages 

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