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PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning


May 14, 2022
Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Siu, Stuart Oberman, Saad Godil, Bryan Catanzaro

* ACM/IEEE Design Automation Conference (DAC), 2021, pp. 853-858 
* Copyright 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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End-to-End Training of Neural Retrievers for Open-Domain Question Answering


Jan 02, 2021
Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L Hamilton, Bryan Catanzaro

* Preprint 

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Synthetic Datasets for Neural Program Synthesis


Dec 27, 2019
Richard Shin, Neel Kant, Kavi Gupta, Christopher Bender, Brandon Trabucco, Rishabh Singh, Dawn Song

* ICLR 2019 

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Adversarial Policies: Attacking Deep Reinforcement Learning


May 25, 2019
Adam Gleave, Michael Dennis, Neel Kant, Cody Wild, Sergey Levine, Stuart Russell

* Under review at NeurIPS 2019 

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Practical Text Classification With Large Pre-Trained Language Models


Dec 04, 2018
Neel Kant, Raul Puri, Nikolai Yakovenko, Bryan Catanzaro

* 8 pages, submitted to AAAI 2019 

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Recent Advances in Neural Program Synthesis


Feb 07, 2018
Neel Kant

* 16 pages (without citations); Literature Review 

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