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Runtime Verification for Visual Deep Learning Systems With Loss Prediction

Deep neural networks often demonstrate remarkable performance on benchmarks, but have been shown to readily fail once they leave lab-conditions and are deployed in real-world conditions. This can be attributed to their sensitivity to minor changes in the nature of the data, typically referred to as...

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Bibliografiset tiedot
Päätekijät: Birk Torpmann-Hagen, Michael A. Riegler, Pal Halvorsen, Dag Johansen
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: IEEE 2025-01-01
Sarja:IEEE Access
Aiheet:
Linkit:https://ieeexplore.ieee.org/document/10930478/
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