QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring

Nikhil Pratap Ghanathe; Steven J E Wilton

2025 ICML ICML 2025

QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Nikhil Pratap Ghanathe, Steven J E Wilton

Topics

Machine Learning > Application Areas > Efficient Computing

Keywords

uncertainty quantification early-exit ensemble latency reduction model monitoring accuracy-drop detection microcontroller

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