Learning Machines Implemented on Non-Deterministic Hardware. - Suyog Gupta; Vikas Sindhwani; Kailash Gopalakrishnan (CoRR, 2014)

Deep Learning with Limited Numerical Precision. - Suyog Gupta; Ankur Agrawal; Kailash Gopalakrishnan; Pritish Narayanan (ICML, 2015)

Model Accuracy and Runtime Tradeoff in Distributed Deep Learning. - Suyog Gupta; Wei Zhang 022; Josh Milthorpe (CoRR, 2015)

Approximate computing: Challenges and opportunities. - Ankur Agrawal; Jungwook Choi; Kailash Gopalakrishnan; Suyog Gupta; Ravi Nair; Jinwook Oh; Daniel A. Prener; Sunil Shukla; Vijayalakshmi Srinivasan; Zehra Sura (ICRC, 2016)

Staleness-Aware Async-SGD for Distributed Deep Learning. - Wei Zhang 022; Suyog Gupta; Xiangru Lian; Ji Liu 002 (IJCAI, 2016)

Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study. - Suyog Gupta; Wei Zhang 022; Fei Wang 001 (IJCAI, 2017)

Guest Editors' Introduction: Hardware and Algorithms for On-Chip Learning. - Yu Cao 001; Xin Li 001; Taemin Kim; Suyog Gupta (ACM J. Emerg. Technol. Comput. Syst., 2017)

To Prune, or Not to Prune: Exploring the Efficacy of Pruning for Model Compression. - Michael Zhu; Suyog Gupta (ICLR (Workshop), 2018)

Compression of End-to-End Models. - Ruoming Pang; Tara N. Sainath; Rohit Prabhavalkar; Suyog Gupta; Yonghui Wu; Shuyuan Zhang 002; Chung-Cheng Chiu (INTERSPEECH, 2018)

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. - Jonathan Shen; Patrick Nguyen; Yonghui Wu; Zhifeng Chen; Mia Xu Chen; Ye Jia; Anjuli Kannan; Tara N. Sainath; Yuan Cao 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

Accelerator-aware Neural Network Design using AutoML. - Suyog Gupta; Berkin Akin (CoRR, 2020)

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. - Yunyang Xiong; Hanxiao Liu; Suyog Gupta; Berkin Akin; Gabriel Bender; Pieter-Jan Kindermans; Mingxing Tan; Vikas Singh; Bo Chen 019 (CoRR, 2020)

Discovering Multi-Hardware Mobile Models via Architecture Search. - Grace Chu; Okan Arikan; Gabriel Bender; Weijun Wang; Achille Brighton; Pieter-Jan Kindermans; Hanxiao Liu; Berkin Akin; Suyog Gupta; Andrew Howard 002 (CVPR Workshops, 2021)

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. - Yunyang Xiong; Hanxiao Liu; Suyog Gupta; Berkin Akin; Gabriel Bender; Yongzhe Wang; Pieter-Jan Kindermans; Mingxing Tan; Vikas Singh; Bo Chen 019 (CVPR, 2021)

A critical review on water quality index tool: Genesis, evolution and future directions. - Suyog Gupta; Sunil Kumar Gupta 004 (Ecol. Informatics, 2021)

Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs. - Berkin Akin; Suyog Gupta; Yun Long; Anton Spiridonov; Zhuo Wang; Marie White; Hao Xu; Ping Zhou; Yanqi Zhou (CVPR Workshops, 2022)