Title
AlphaGrad: Non-Linear Gradient Normalization Optimizer Soham Sane ODL 56 0 0 22 Apr 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 34 0 0 13 Apr 2025
On-Sensor Convolutional Neural Networks with Early-Exits Hazem Hesham Yousef Shalby Arianna De Vecchi Alice Scandelli Pietro Bartoli Diana Trojaniello Manuel Roveri Federica Villa 45 0 0 21 Mar 2025
Dendron: Enhancing Human Activity Recognition with On-Device TinyML Learning Hazem Hesham Yousef Shalby Manuel Roveri 53 0 0 03 Mar 2025
Phoeni6: a Systematic Approach for Evaluating the Energy Consumption of Neural Networks Antônio Oliveira-Filho Wellington Silva-de-Souza Carlos Alberto Valderrama Sakuyama Samuel Xavier-de-Souza 63 0 0 25 Feb 2025
ETHEREAL: Energy-efficient and High-throughput Inference using Compressed Tsetlin Machine Shengyu Duan R. Shafik Alex Yakovlev 51 0 0 08 Feb 2025
TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment Luca Colombo Alessandro Falcetta Manuel Roveri FedML 92 3 0 25 Nov 2024
TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors Zhaolan Huang Adrien Tousnakhoff Polina Kozyr Roman Rehausen Felix Biessmann Robert Lachlan C. Adjih Emmanuel Baccelli 34 1 0 31 Jul 2024
StreamTinyNet: video streaming analysis with spatial-temporal TinyML Hazem Hesham Yousef Shalby Massimo Pavan Manuel Roveri 37 0 0 22 Jul 2024
Enhancing TinyML Security: Study of Adversarial Attack Transferability Parin Shah Yuvaraj Govindarajulu Pavan Kulkarni Manojkumar Somabhai Parmar AAML 25 1 0 16 Jul 2024
Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection Colby R. Banbury Emil Njor Matthew P. Stewart Pete Warden M. Kudlur Nat Jeffries Xenofon Fafoutis Vijay Janapa Reddi VLM 42 0 0 01 May 2024
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case Fatemeh Dehrouyeh Li Yang F. Badrkhani Ajaei Abdallah Shami 27 6 0 25 Apr 2024
David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge Miguel Costa Sandro Pinto AAML 27 0 0 08 Apr 2024
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference Fred Hohman Chaoqun Wang Jinmook Lee Jochen Görtler Dominik Moritz Jeffrey P. Bigham Zhile Ren Cecile Foret Qi Shan Xiaoyi Zhang 32 7 0 03 Apr 2024
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs Victor J. B. Jung Alessio Burrello Moritz Scherer Francesco Conti Luca Benini 22 4 0 03 Apr 2024
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning Yoga Esa Wibowo Cristian Cioflan T. Ingolfsson Michael Hersche Leo Zhao Abbas Rahimi Luca Benini CLL 37 1 0 12 Mar 2024
Boosting keyword spotting through on-device learnable user speech characteristics Cristian Cioflan Lukas Cavigelli Luca Benini 35 3 0 12 Mar 2024
Enabling On-device Continual Learning with Binary Neural Networks Lorenzo Vorabbi Davide Maltoni Guido Borghi Stefano Santi MQ 36 5 0 18 Jan 2024
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning Lixiang Han Zhen Xiao Zhenjiang Li 41 5 0 17 Jan 2024
Physics-Enhanced TinyML for Real-Time Detection of Ground Magnetic Anomalies Talha Siddique Md. Shaad Mahmud AI4CE 22 4 0 19 Nov 2023
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 33 2 0 03 Nov 2023
PockEngine: Sparse and Efficient Fine-tuning in a Pocket Ligeng Zhu Lanxiang Hu Ji Lin Wei-Chen Wang Wei-Ming Chen Chuang Gan Song Han 25 19 0 26 Oct 2023
A Machine Learning-oriented Survey on Tiny Machine Learning Luigi Capogrosso Federico Cunico D. Cheng Franco Fummi Marco Cristani SyDa MU 29 33 0 21 Sep 2023
U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power IoT Zhao Huang K. Zandberg K. Schleiser Emmanuel Baccelli 17 5 0 26 Jun 2023
Datasheets for Machine Learning Sensors: Towards Transparency, Auditability, and Responsibility for Intelligent Sensing Matthew P. Stewart Pete Warden Yasmine Omri Shvetank Prakash Joao Santos ... Jim MacArthur Nat Jeffries Sachin Katti Brian Plancher Vijay Janapa Reddi 22 1 0 15 Jun 2023
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers D. Nadalini Manuele Rusci Luca Benini Francesco Conti 23 15 0 30 May 2023
Uncharted Territory: Energy Attacks in the Battery-less Internet of Things L. Mottola Arslan Hameed Thiemo Voigt AAML 29 2 0 17 Apr 2023
TinyML: Tools, Applications, Challenges, and Future Research Directions Rakhee Kallimani K. Pai Prasoon Raghuwanshi S. Iyer O. López 36 40 0 23 Mar 2023
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models Steven M. Hernandez Ding Zhao Shaojin Ding A. Bruguier Rohit Prabhavalkar Tara N. Sainath Yanzhang He Ian McGraw 26 7 0 15 Mar 2023
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge Matteo Risso Alessio Burrello Francesco Conti Lorenzo Lamberti Yukai Chen Luca Benini Enrico Macii M. Poncino Daniele Jahier Pagliari 22 33 0 24 Jan 2023
Reaching the Edge of the Edge: Image Analysis in Space R. Bayer Julian Priest Pınar Tözün 17 5 0 12 Jan 2023
Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics Hendrik Borras Bernhard Klein Holger Fröning AAML 21 1 0 20 Dec 2022
Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor Andrea Mattia Garavagno D. Leonardis A. Frisoli 25 1 0 15 Dec 2022
A review of TinyML Harsha Yelchuri R. Rashmi 11 2 0 05 Nov 2022
DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems Michael Bechtel QiTao Weng H. Yun BDL 23 7 0 23 Aug 2022
Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices Preetam Anbukarasu Shailesh Nanisetty Ganesh Tata Nilanjan Ray 29 5 0 16 Aug 2022
Low-bit Shift Network for End-to-End Spoken Language Understanding Anderson R. Avila Khalil Bibi Ruizhi Yang Xinlin Li Chao Xing Xiao Chen MQ 31 4 0 15 Jul 2022
On-Device Training Under 256KB Memory Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Chuang Gan Song Han MQ 25 196 0 30 Jun 2022
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark H. Borras G. D. Guglielmo Javier Mauricio Duarte Nicolò Ghielmetti B. Hawks ... Nhan Tran Yaman Umuroglu Olivia Weng Aidan Yokuda Michaela Blott VLM MQ 27 14 0 23 Jun 2022
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems Armin Danesh Pazho Ghazal Alinezhad Noghre Arnab A. Purkayastha Jagannadh Vempati Otto Martin Hamed Tabkhi GNN 18 35 0 08 Jun 2022
Machine Learning Sensors Pete Warden Matthew P. Stewart Brian Plancher Colby R. Banbury Shvetank Prakash Emma Chen Zain Asgar Sachin Katti Vijay Janapa Reddi 37 12 0 07 Jun 2022
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks Matteo Risso Alessio Burrello Luca Benini Enrico Macii M. Poncino Daniele Jahier Pagliari 9 3 0 01 Jun 2022
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml Nicolò Ghielmetti Vladimir Loncar M. Pierini Marcel Roed S. Summers ... Christoffer Petersson H. Linander J. Ngadiuba Kelvin Lin Philip C. Harris SSeg 30 20 0 16 May 2022
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots Sabrina M. Neuman Brian Plancher Bardienus P. Duisterhof Srivatsan Krishnan Colby R. Banbury ... Shvetank Prakash Jason J. Jabbour Aleksandra Faust Guido de Croon Vijay Janapa Reddi 24 38 0 11 May 2022
Smart City Intersections: Intelligence Nodes for Future Metropolises Z. Kostić Alex Angus Zhengye Yang Zhuoxu Duan I. Seskar Gil Zussman D. Raychaudhuri 14 12 0 03 May 2022
Depth Pruning with Auxiliary Networks for TinyML Josen Daniel De Leon Rowel Atienza VLM 4 11 0 22 Apr 2022
Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review Shashank Bangalore Lakshman Nasir U. Eisty 11 12 0 19 Apr 2022
Intelligence at the Extreme Edge: A Survey on Reformable TinyML Visal Rajapakse Ishan Karunanayake Nadeem Ahmed SyDa 31 53 0 02 Apr 2022
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications Gourav Datta Souvik Kundu Zihan Yin R. T. Lakkireddy Joe Mathai A. Jacob P. Beerel Akhilesh R. Jaiswal 16 36 0 07 Mar 2022
RoboMal: Malware Detection for Robot Network Systems Upinder Kaur Haozhe Zhou Xiaxin Shen B. Min Richard M. Voyles AAML 11 4 0 20 Jan 2022