Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks

1 June 2022

Luca Benini

Papers citing "Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks"

3 / 3 papers shown

Title
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 109 228 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 20,567 0 17 Apr 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016