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SemReWrite achieves a remarkable balance between updating visual-semantic mappings and retaining critical knowledge, outperforming conventional adaptation methods in evolving contexts.
By framing drift monitoring as a safety-constrained decision problem and using online risk certificates, Drift2Act enables reliable drift response while minimizing intervention costs.
Achieve 97.4% accuracy in air handwriting recognition on a microcontroller with a 120kB model, proving that high performance is possible even on the tiniest devices.
