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Found 3 papers, 1 papers with code
Machine Learning Sensors
Machine learning sensors represent a paradigm shift for the future of embedded machine learning applications.
ML-EXray: Visibility into ML Deployment on the Edge
The key challenge is that there is not much visibility into ML inference execution on edge devices, and very little awareness of potential issues during the edge deployment process.
Characterizing and Taming Model Instability Across Edge Devices
We characterize different sources for instability, and show that differences in compression formats and image signal processing account for significant instability in object classification models.
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