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$μ$ NAS: Constrained Neural Architecture Search for Microcontrollers

27 October 2020

Papers citing "$μ$NAS: Constrained Neural Architecture Search for Microcontrollers"

46 / 46 papers shown

Title
AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks Irene Tenison S. Chatterjee F. Kawsar Mohammad Malekzadeh 12 0 0 03 Oct 2025
From LLMs to Edge: Parameter-Efficient Fine-Tuning on Edge Devices Georg Slamanig Francesco Corti O. Saukh 40 0 0 31 Jul 2025
msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML Zhaolan Huang Emmanuel Baccelli MQ 102 0 0 16 May 2025
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training Yi Hu Jinhang Zuo Eddie Zhang Bob Iannucci Carlee Joe-Wong 135 1 0 13 Apr 2025
MicroNAS: An Automated Framework for Developing a Fall Detection System Seyed Mojtaba Mohasel John Sheppard Lindsey K. Molina Richard R. Neptune Shane R. Wurdeman Corey A. Pew 104 1 0 10 Apr 2025
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation Emil Njor Colby R. Banbury Xenofon Fafoutis 169 2 0 18 Feb 2025
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators Taesik Gong F. Kawsar Chulhong Min 158 4 0 09 Dec 2024
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search Amber Cassimon Phil Reiter Siegfried Mercelis Kevin Mets 153 1 0 07 Oct 2024
MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs Ye Qiao Jingcheng Li Yifan Zhang Sitao Huang 194 1 0 26 Aug 2024
Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks Jaewook Lee Yoel Park Seulki Lee VLM 84 2 0 07 Aug 2024
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks Beatrice Alessandra Motetti Matteo Risso Luca Bompani Enrico Macii Massimo Poncino Daniele Jahier Pagliari MQ 137 4 0 01 Jul 2024
Tiny Machine Learning: Progress and Futures Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Song Han 142 84 0 28 Mar 2024
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition Thejan Rajapakshe R. Rana Sara Khalifa Berrak Sisman Bjorn W. Schuller John H. L. Hansen AI4TS 86 2 0 21 Mar 2024
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers Hong Jia Young D. Kwon Dong Ma Nhat Pham Lorena Qendro Tam N. Vu Cecilia Mascolo 109 5 0 14 Feb 2024
MicroNAS: Zero-Shot Neural Architecture Search for MCUs Ye Qiao Jingcheng Li Yifan Zhang Sitao Huang 64 3 0 17 Jan 2024
Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables Taesik Gong S. Jang Utku Günay Acer F. Kawsar Chulhong Min 185 3 0 11 Dec 2023
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints Francesco Corti Balz Maag Joachim Schauer U. Pferschy O. Saukh 186 3 0 22 Nov 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review M. Lê Pierre Wolinski Julyan Arbel 171 14 0 20 Nov 2023
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms Young D. Kwon Jagmohan Chauhan Hong Jia Stylianos I. Venieris Cecilia Mascolo 118 18 0 19 Nov 2023
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO Julian Moosmann Pietro Bonazzi Yawei Li Sizhen Bian Philipp Mayer Luca Benini Michele Magno 149 17 0 02 Nov 2023
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers Tobias King Yexu Zhou Tobias Röddiger Michael Beigl 101 5 0 27 Oct 2023
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices Luca Bompani Matteo Risso Beatrice Alessandra Motetti Enrico Macii Luca Benini Daniele Jahier Pagliari 110 12 0 11 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey Sicong Liu Bin Guo Cheng Fang Ziqi Wang Shiyan Luo Zimu Zhou Zhiwen Yu AI4CE 163 32 0 27 Sep 2023
A Machine Learning-oriented Survey on Tiny Machine Learning Luigi Capogrosso Federico Cunico D. Cheng Franco Fummi Marco Cristani SyDa MU 179 56 0 21 Sep 2023
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization Daniele Jahier Pagliari Matteo Risso Beatrice Alessandra Motetti Luca Bompani 125 9 0 18 Jul 2023
Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems Julian Moosmann H. Mueller Nicky Zimmerman Georg Rutishauser Luca Benini Michele Magno 137 13 0 12 Jul 2023
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing Hadjer Benmeziane Corey Lammie I. Boybat Malte J. Rasch Corey Lammie ... Smail Niar Hamza Ouarnoughi Vijay Narayanan Abu Sebastian Kaoutar El Maghraoui 83 12 0 17 May 2023
DietCNN: Multiplication-free Inference for Quantized CNNs Swarnava Dey P. Dasgupta P. Chakrabarti MQ 173 1 0 09 May 2023
BOMP-NAS: Bayesian Optimization Mixed Precision NAS David van Son F. D. Putter Sebastian Vogel Henk Corporaal MQ 93 4 0 27 Jan 2023
Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution Edgar Liberis Nicholas D. Lane 155 4 0 30 Nov 2022
Enhancing Efficiency in Multidevice Federated Learning through Data Selection Fan Mo Mohammad Malekzadeh S. Chatterjee F. Kawsar Akhil Mathur FedML 304 3 0 08 Nov 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 192 56 0 13 Oct 2022
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices Christoph Gerum Adrian Frischknecht T. Hald Paul Palomero Bernardo Konstantin Lubeck Oliver Bringmann 130 10 0 08 Sep 2022
Tackling Neural Architecture Search With Quality Diversity Optimization Lennart Schneider Florian Pfisterer P. Kent Juergen Branke B. Bischl Janek Thomas AI4CE 118 3 0 30 Jul 2022
On-Device Training Under 256KB Memory Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Chuang Gan Song Han MQ 203 231 0 30 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 279 143 0 29 May 2022
Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering T. Ingolfsson Mark Vero Xiaying Wang Lorenzo Lamberti Luca Benini Matteo Spallanzani GNN 106 3 0 29 Apr 2022
Improving the Energy Efficiency and Robustness of tinyML Computer Vision using Log-Gradient Input Images Qianyun Lu B. Murmann 85 7 0 04 Mar 2022
UDC: Unified DNAS for Compressible TinyML Models Igor Fedorov Ramon Matas Hokchhay Tann Chu Zhou Matthew Mattina P. Whatmough AI4CE 157 15 0 15 Jan 2022
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation Odrika Iqbal Victor Isaac Torres Muro Sameeksha Katoch A. Spanias Suren Jayasuriya 112 13 0 17 Dec 2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning Ji Lin Wei-Ming Chen Han Cai Chuang Gan Song Han 162 171 0 28 Oct 2021
Differentiable Network Pruning for Microcontrollers Edgar Liberis Nicholas D. Lane 146 24 0 15 Oct 2021
Evolutionary Algorithms in Approximate Computing: A Survey Lukás Sekanina 81 4 0 16 Aug 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML Lennart Heim Andreas Biri Zhongnan Qu Lothar Thiele 107 31 0 21 Apr 2021
TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT H. F. Langroudi Vedant Karia Tej Pandit Dhireesha Kudithipudi MQ 80 11 0 06 Apr 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search Hadjer Benmeziane Kaoutar El Maghraoui Hamza Ouarnoughi Smail Niar Martin Wistuba Naigang Wang 138 118 0 22 Jan 2021

μμμNAS: Constrained Neural Architecture Search for Microcontrollers

Papers citing "$μ$NAS: Constrained Neural Architecture Search for Microcontrollers"

$μ$ NAS: Constrained Neural Architecture Search for Microcontrollers