12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning

12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning

12 March 2024

Yoga Esa Wibowo

Cristian Cioflan

Michael Hersche

Luca Benini

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Papers citing "12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning"

14 / 14 papers shown

Title
On-Device Federated Continual Learning on RISC-V-based Ultra-Low-Power SoC for Intelligent Nano-Drone Swarms Lars Kröger Cristian Cioflan V. Kartsch Luca Benini 88 0 0 21 Mar 2025
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory G. Karunaratne Michael Hersche Jovin Langenegger G. Cherubini Manuel Le Gallo ... I. Ahsan Vijay Narayanan Luca Benini Abu Sebastian Abbas Rahimi 45 17 0 14 Jul 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi CLL 106 142 0 30 Mar 2022
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays Leonardo Ravaglia Manuele Rusci D. Nadalini Alessandro Capotondi Francesco Conti Luca Benini BDL 95 68 0 20 Oct 2021
Continual Learning at the Edge: Real-Time Training on Smartphone Devices Lorenzo Pellegrini Vincenzo Lomonaco G. Graffieti Davide Maltoni 62 27 0 24 May 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers Chi Zhang Nan Song Guosheng Lin Yun Zheng Pan Pan Yinghui Xu CLL 99 296 0 07 Apr 2021
TinyOL: TinyML with Online-Learning on Microcontrollers Haoyu Ren Darko Anicic Thomas Runkler 79 132 0 15 Mar 2021
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs Luca Bompani Angelo Garofalo Nazareno Bruschi Giuseppe Tagliavini D. Rossi Francesco Conti 58 107 0 17 Aug 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 100 412 0 23 Apr 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
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 624 4,809 0 13 May 2019
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks Sambhav R. Jain Albert Gural Michael Wu Chris Dick MQ 95 152 0 19 Mar 2019
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 215 19,353 0 13 Jan 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 316 9,811 0 25 Oct 2017

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