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MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers

Oct 21, 2020
Colby Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakkar, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough

* 10 pages, 8 figures, 3 tables, appendix 

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TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems

Oct 20, 2020
Robert David, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Shlomi Regev, Rocky Rhodes, Tiezhen Wang, Pete Warden


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Benchmarking TinyML Systems: Challenges and Direction

Mar 10, 2020
Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav

* 5 pages, 1 figure, 2 tables 

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Quantized Neural Network Inference with Precision Batching

Feb 26, 2020
Maximilian Lam, Zachary Yedidia, Colby Banbury, Vijay Janapa Reddi


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MLPerf Inference Benchmark

Nov 06, 2019
Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou


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MLPerf Training Benchmark

Oct 30, 2019
Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia


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AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference

Oct 15, 2019
Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander Rush, David Brooks, Gu-Yeon Wei

* 10 pages 

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Quantized Reinforcement Learning (QUARL)

Oct 04, 2019
Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi

* Equal contribution from first three authors 

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GLADAS: Gesture Learning for Advanced Driver Assistance Systems

Oct 02, 2019
Ethan Shaotran, Jonathan J. Cruz, Vijay Janapa Reddi

* 9 Pages, 7 Figures 

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Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller

Sep 29, 2019
Bardienus P. Duisterhof, Srivatsan Krishnan, Jonathan J. Cruz, Colby R. Banbury, William Fu, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi


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One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers

Jun 26, 2019
Matthew Halpern, Behzad Boroujerdian, Todd Mummert, Evelyn Duesterwald, Vijay Janapa Reddi

* 2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) 

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The Role of Compute in Autonomous Aerial Vehicles

Jun 24, 2019
Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Bardienus Pieter Duisterhof, Brian Plancher, Kayvan Mansoorshahi, Marcelino Almeida, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi

* arXiv admin note: substantial text overlap with arXiv:1905.06388 

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Deep Reinforcement Learning for Cyber Security

Jun 20, 2019
Thanh Thi Nguyen, Vijay Janapa Reddi


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Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots

Jun 09, 2019
Srivatsan Krishnan, Behzad Borojerdian, William Fu, Aleksandra Faust, Vijay Janapa Reddi


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MAVBench: Micro Aerial Vehicle Benchmarking

Jun 01, 2019
Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi

* 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) 

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Domain Specific Approximation for Object Detection

Oct 04, 2018
Ting-Wu Chin, Chia-Lin Yu, Matthew Halpern, Hasan Genc, Shiao-Li Tsao, Vijay Janapa Reddi

* T. Chin, C. Yu, M. Halpern, H. Genc, S. Tsao and V. J. Reddi, "Domain-Specific Approximation for Object Detection," in IEEE Micro, vol. 38, no. 1, pp. 31-40, January/February 2018 
* 6 pages, 6 figures. Published in IEEE Micro, vol. 38, no. 1, pp. 31-40, January/February 2018 

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