ML-EXray: Visibility into ML Deployment on the Edge

8 November 2021

Papers citing "ML-EXray: Visibility into ML Deployment on the Edge"

8 / 8 papers shown

Title
DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing Nikhil P Ghanathe Steven J E Wilton 28 0 0 16 Nov 2024
MGit: A Model Versioning and Management System Wei Hao Daniel Mendoza Rafael Ferreira da Silva Deepak Narayanan Amar Phanishayee VLM 19 1 0 14 Jul 2023
U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power IoT Zhao Huang K. Zandberg K. Schleiser Emmanuel Baccelli 17 5 0 26 Jun 2023
Datasheets for Machine Learning Sensors: Towards Transparency, Auditability, and Responsibility for Intelligent Sensing Matthew P. Stewart Pete Warden Yasmine Omri Shvetank Prakash Joao Santos ... Jim MacArthur Nat Jeffries Sachin Katti Brian Plancher Vijay Janapa Reddi 22 1 0 15 Jun 2023
Monitoring and Adapting ML Models on Mobile Devices Wei Hao Zixi Wang Lauren Hong Lingxi Li Nader Karayanni Chengzhi Mao Junfeng Yang Asaf Cidon OffRL 22 4 0 12 May 2023
How to Manage Tiny Machine Learning at Scale: An Industrial Perspective Haoyu Ren Darko Anicic Thomas Runkler 12 8 0 18 Feb 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 107 465 0 17 Oct 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