AAAI 2022technical19 citations
EtinyNet: Extremely Tiny Network for TinyML
Kunran Xu, Yishi Li, Huawei Zhang, Rui Lai, Lin Gu
Abstract
There are many AI applications in high-income countries because their implementation depends on expensive GPU cards (~2000$) and reliable power supply (~200W). To deploy AI in resource-poor settings on cheaper (~20$) and low-power devices (
BibTeX
@inproceedings{aaai2022_etinynetextremel,
title = {EtinyNet: Extremely Tiny Network for TinyML},
author = {Kunran Xu and Yishi Li and Huawei Zhang and Rui Lai and Lin Gu},
booktitle = {AAAI 2022},
year = {2022}
}