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Mayank Agarwal

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NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands

Mar 03, 2021
Mayank Agarwal, Tathagata Chakraborti, Quchen Fu, David Gros, Xi Victoria Lin, Jaron Maene, Kartik Talamadupula, Zhongwei Teng, Jules White

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Online Semi-Supervised Learning with Bandit Feedback

Oct 23, 2020
Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal, Yasaman Khazaeni, DjallelBouneffouf

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IBM Federated Learning: an Enterprise Framework White Paper V0.1

Jul 22, 2020
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Whitherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay

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CLAI: A Platform for AI Skills on the Command Line

Jan 31, 2020
Mayank Agarwal, Jorge J. Barroso, Tathagata Chakraborti, Eli M. Dow, Kshitij Fadnis, Borja Godoy, Kartik Talamadupula

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Statistical Model Aggregation via Parameter Matching

Nov 01, 2019
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Trong Nghia Hoang

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A Bandit Approach to Posterior Dialog Orchestration Under a Budget

Jun 22, 2019
Sohini Upadhyay, Mayank Agarwal, Djallel Bounneffouf, Yasaman Khazaeni

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Bayesian Nonparametric Federated Learning of Neural Networks

May 28, 2019
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Trong Nghia Hoang, Yasaman Khazaeni

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Machine Translation: A Literature Review

Dec 28, 2018
Ankush Garg, Mayank Agarwal

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CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision

Nov 28, 2018
Navaneet K L, Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu

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3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image

Jul 20, 2018
Priyanka Mandikal, Navaneet Murthy, Mayank Agarwal, R. Venkatesh Babu

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