Title
Quantization Backdoors to Deep Learning Commercial Frameworks Hua Ma Huming Qiu Yansong Gao Zhi-Li Zhang A. Abuadbba Minhui Xue Anmin Fu Jiliang Zhang S. Al-Sarawi Derek Abbott MQ 38 19 0 20 Aug 2021
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks Alexandra Peste Eugenia Iofinova Adrian Vladu Dan Alistarh AI4CE 10 68 0 23 Jun 2021
MLPerf Tiny Benchmark Colby R. Banbury Vijay Janapa Reddi P. Torelli J. Holleman Nat Jeffries ... Videet Parekh Honson Tran Nhan Tran Niu Wenxu Xu Xuesong VLM 34 183 0 14 Jun 2021
Widening Access to Applied Machine Learning with TinyML Vijay Janapa Reddi Brian Plancher Susan Kennedy L. Moroney Pete Warden ... Dominic Pajak Dhilan Ramaprasad J. E. Smith Matthew P. Stewart D. Tingley 24 51 0 07 Jun 2021
Quantization and Deployment of Deep Neural Networks on Microcontrollers Pierre-Emmanuel Novac G. B. Hacene Alain Pegatoquet Benoit Miramond Vincent Gripon MQ 20 116 0 27 May 2021
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things Huming Qiu Hua Ma Zhi-Li Zhang Yifeng Zheng Anmin Fu Pan Zhou Yansong Gao Derek Abbott S. Al-Sarawi MQ 19 9 0 09 May 2021
The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT Haoyu Ren Darko Anicic Thomas Runkler 16 24 0 04 May 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML Lennart Heim Andreas Biri Zhongnan Qu Lothar Thiele 46 30 0 21 Apr 2021
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications Lixuan Yang A. Finamore Feng Jun Dario Rossi 14 47 0 07 Apr 2021
On-device Federated Learning with Flower Akhil Mathur Daniel J. Beutel Pedro Porto Buarque de Gusmão Javier Fernandez-Marques Taner Topal Xinchi Qiu Titouan Parcollet Yan Gao Nicholas D. Lane FedML 38 37 0 07 Apr 2021
Few-Shot Keyword Spotting in Any Language Mark Mazumder Colby R. Banbury Josh Meyer Pete Warden Vijay Janapa Reddi 19 40 0 03 Apr 2021
TinyOL: TinyML with Online-Learning on Microcontrollers Haoyu Ren Darko Anicic Thomas Runkler 25 125 0 15 Mar 2021
Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers Giulia Crocioni G. Gruosso D. Pau D. Denaro Luigi Zambrano G. D. Giore 4 5 0 27 Feb 2021
$μ$ NAS: Constrained Neural Architecture Search for Microcontrollers Edgar Liberis L. Dudziak Nicholas D. Lane BDL 15 103 0 27 Oct 2020
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments Bruno Ferrarini Michael Milford Klaus D. McDonald-Maier Shoaib Ehsan MQ 25 22 0 01 Oct 2020
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs Alessio Burrello Angelo Garofalo Nazareno Bruschi Giuseppe Tagliavini D. Rossi Francesco Conti 11 102 0 17 Aug 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 109 228 0 10 Mar 2020
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller Bardienus P. Duisterhof Srivatsan Krishnan Jonathan J. Cruz Colby R. Banbury William Fu Aleksandra Faust Guido de Croon Vijay Janapa Reddi 18 25 0 25 Sep 2019