TinyML: Tools, Applications, Challenges, and Future Research Directions

TinyML: Tools, Applications, Challenges, and Future Research Directions

23 March 2023

Rakhee Kallimani

Prasoon Raghuwanshi

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Papers citing "TinyML: Tools, Applications, Challenges, and Future Research Directions"

16 / 16 papers shown

Title
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices Jianlei Yang Jiacheng Liao Fanding Lei Meichen Liu Junyi Chen Lingkun Long Han Wan Bei Yu Weisheng Zhao MoE 117 2 0 03 Nov 2023
Intelligence at the Extreme Edge: A Survey on Reformable TinyML Visal Rajapakse Ishan Karunanayake Nadeem Ahmed SyDa 80 56 0 02 Apr 2022
A Survey on Brain-Computer Interface and Related Applications K. Pai Rakhee Kallimani Sridhar Iyer B. Maheswari Rajashri Khanai Dattaprasad Torse 32 2 0 17 Mar 2022
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments M. Goudarzi M. Palaniswami Rajkumar Buyya OffRL 92 87 0 24 Oct 2021
Differentiable Network Pruning for Microcontrollers Edgar Liberis Nicholas D. Lane 71 22 0 15 Oct 2021
AutoFlow: Learning a Better Training Set for Optical Flow Deqing Sun Daniel Vlasic Charles Herrmann Varun Jampani Michael Krainin Huiwen Chang Ramin Zabih William T. Freeman Ce Liu 3DPC 92 118 0 29 Apr 2021
TinyOL: TinyML with Online-Learning on Microcontrollers Haoyu Ren Darko Anicic Thomas Runkler 75 132 0 15 Mar 2021
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices F. Fahim B. Hawks C. Herwig J. Hirschauer S. Jindariani ... J. Ngadiuba Miaoyuan Liu Duc Hoang E. Kreinar Zhenbin Wu 56 133 0 09 Mar 2021
Tiny Transducer: A Highly-efficient Speech Recognition Model on Edge Devices Yuekai Zhang Sining Sun Long Ma 75 29 0 18 Jan 2021
On the quantization of recurrent neural networks Jian Li R. Álvarez MQ 64 11 0 14 Jan 2021
A Tiny CNN Architecture for Medical Face Mask Detection for Resource-Constrained Endpoints P. Mohan A. Paul Abhay Chirania CVBM 45 49 0 30 Nov 2020
Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprint A. Paul P. Mohan Stuti Sehgal 51 17 0 27 Nov 2020
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles Miguel de Prado Manuele Rusci Romain Donze Alessandro Capotondi Serge Monnerat Luca Benini and Nuria Pazos 75 40 0 01 Jul 2020
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids Igor Fedorov Marko Stamenovic Carl R. Jensen Li-Chia Yang Ari Mandell Yiming Gan Matthew Mattina P. Whatmough 56 98 0 20 May 2020
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 147 237 0 10 Mar 2020
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things Xiaying Wang Michele Magno Lukas Cavigelli Luca Benini 77 118 0 08 Nov 2019