MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

Apr 30, 2020
Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen


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Accelerator-aware Neural Network Design using AutoML

Mar 05, 2020
Suyog Gupta, Berkin Akin

* Accepted paper at the On-device Intelligence Workshop at MLSys Conference 2020 

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Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Feb 21, 2019
Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia X. Chen, Ye Jia, Anjuli Kannan, Tara Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel A. U. Bacchiani, Thomas B. Jablin, Rob Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon


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To prune, or not to prune: exploring the efficacy of pruning for model compression

Nov 13, 2017
Michael Zhu, Suyog Gupta


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Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study

Dec 05, 2016
Suyog Gupta, Wei Zhang, Fei Wang

* Accepted by The IEEE International Conference on Data Mining 2016 (ICDM 2016) 

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Staleness-aware Async-SGD for Distributed Deep Learning

Apr 05, 2016
Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu

* Accepted by IJCAI 2016 

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Deep Learning with Limited Numerical Precision

Feb 09, 2015
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan, Pritish Narayanan

* 10 pages, 6 figures, 1 table 

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Learning Machines Implemented on Non-Deterministic Hardware

Sep 09, 2014
Suyog Gupta, Vikas Sindhwani, Kailash Gopalakrishnan


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