On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers

15 July 2024

Papers citing "On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers"

9 / 9 papers shown

Title
Tiny Machine Learning: Progress and Futures Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Song Han 66 53 0 28 Mar 2024
TinyOL: TinyML with Online-Learning on Microcontrollers Haoyu Ren Darko Anicic Thomas Runkler 34 127 0 15 Mar 2021
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs Jonathan Frankle D. Schwab Ari S. Morcos 46 140 0 29 Feb 2020
Visual Wake Words Dataset Aakanksha Chowdhery Pete Warden Jonathon Shlens Andrew G. Howard Rocky Rhodes VLM 29 101 0 12 Jun 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 256 6,685 0 06 May 2019
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 122 3,090 0 15 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 127 8,807 0 25 Aug 2017
Memory-Efficient Backpropagation Through Time A. Gruslys Rémi Munos Ivo Danihelka Marc Lanctot Alex Graves 49 228 0 10 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 678 149,474 0 22 Dec 2014