Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML

23 May 2023

Papers citing "Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML"

8 / 8 papers shown

Title
Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression M. Deutel Philipp Woller Christopher Mutschler Jürgen Teich 47 4 0 20 May 2022
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 110 466 0 17 Oct 2020
Understanding and Robustifying Differentiable Architecture Search Arber Zela T. Elsken Tonmoy Saikia Yassine Marrakchi Thomas Brox Frank Hutter OOD AAML 66 366 0 20 Sep 2019
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 96 1,072 0 11 Sep 2019
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 498 0 24 Apr 2018
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 20,567 0 17 Apr 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,368 0 07 Oct 2016