Measuring what Really Matters: Optimizing Neural Networks for TinyML

21 April 2021

Papers citing "Measuring what Really Matters: Optimizing Neural Networks for TinyML"

4 / 4 papers shown

Title
TinyML Platforms Benchmarking Anas Osman Usman Abid Luca Gemma Matteo Perotto Davide Brunelli ELM 28 15 0 30 Nov 2021
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems R. David Jared Duke Advait Jain Vijay Janapa Reddi Nat Jeffries ... Meghna Natraj Shlomi Regev Rocky Rhodes Tiezhen Wang Pete Warden 107 465 0 17 Oct 2020
Benchmarking TinyML Systems: Challenges and Direction Colby R. Banbury Vijay Janapa Reddi Max Lam William Fu A. Fazel ... Jae-sun Seo Jeff Sieracki Urmish Thakker Marian Verhelst Poonam Yadav 98 228 0 10 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017