{"total":26,"rows":[{"id":"2309.11932","title":"A Machine Learning-oriented Survey on Tiny Machine Learning","created":"2023-09-21","cited_by_count":27,"area":null},{"id":"2212.00824","title":"On-device Training: A First Overview on Existing Systems","created":"2022-12-01","cited_by_count":19,"area":null},{"id":"2311.01057","title":"Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO","created":"2023-11-02","cited_by_count":15,"area":null},{"id":"2307.05999","title":"Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems","created":"2023-07-12","cited_by_count":11,"area":null},{"id":"2311.11883","title":"Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review","created":"2023-11-20","cited_by_count":9,"area":null},{"id":"2309.15467","title":"Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey","created":"2023-09-27","cited_by_count":8,"area":null},{"id":"2408.12481","title":"Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors","created":"2024-08-22","cited_by_count":7,"area":null},{"id":"2508.15008","title":"Neural Network Quantization for Microcontrollers: A Comprehensive Survey of Methods, Platforms, and Applications","created":"2025-08-20","cited_by_count":7,"area":null},{"id":"2503.22567","title":"Benchmarking Ultra-Low-Power $\\mu$NPUs","created":"2025-03-28","cited_by_count":6,"area":null},{"id":"2306.14574","title":"U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power IoT","created":"2023-06-26","cited_by_count":5,"area":null},{"id":"2506.18927","title":"From Tiny Machine Learning to Tiny Deep Learning: A Survey","created":"2025-06-21","cited_by_count":5,"area":null},{"id":"2410.16769","title":"DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units","created":"2024-10-22","cited_by_count":4,"area":null},{"id":"2502.12690","title":"Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation","created":"2025-02-18","cited_by_count":3,"area":null},{"id":"2505.11483","title":"msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML","created":"2025-05-16","cited_by_count":3,"area":null},{"id":"2502.01700","title":"EdgeMark: An Automation and Benchmarking System for Embedded Artificial Intelligence Tools","created":"2025-02-03","cited_by_count":2,"area":null},{"id":"2503.14873","title":"Robust Support Vector Machines for Imbalanced and Noisy Data via Benders Decomposition","created":"2025-03-19","cited_by_count":2,"area":null},{"id":"2510.23389","title":"Floating-Point Neural Network Verification at the Software Level","created":"2025-10-27","cited_by_count":2,"area":null},{"id":"2212.07700","title":"Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor","created":"2022-12-15","cited_by_count":1,"area":null},{"id":"2404.15833","title":"OpTC -- A Toolchain for Deployment of Neural Networks on AURIX TC3xx Microcontrollers","created":"2024-04-24","cited_by_count":1,"area":null},{"id":"2408.08316","title":"SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning","created":"2024-07-31","cited_by_count":1,"area":null},{"id":"2601.11350","title":"FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting","created":"2026-01-16","cited_by_count":1,"area":null},{"id":"2509.10021","title":"Efficient and Accurate Downfacing Visual Inertial Odometry","created":"2025-09-12","cited_by_count":0,"area":null},{"id":"2601.05379","title":"EdgeLDR: Quaternion Low-Displacement Rank Neural Networks for Edge-Efficient Deep Learning","created":"2026-01-08","cited_by_count":0,"area":null},{"id":"2604.06411","title":"Towards Resilient Intrusion Detection in CubeSats: Challenges, TinyML Solutions, and Future Directions","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2604.18067","title":"Towards Real-Time ECG and EMG Modeling on $\\mu$NPUs","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2607.28293","title":"Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras","created":"2026-07-30","cited_by_count":0,"area":null}],"next_cursor":null}