Resource‐adaptive and OOD‐robust inference of deep neural networks on IoT devices

Resource‐adaptive and OOD‐robust inference of deep neural networks on IoT devices

Abstract Efficiently executing inference tasks of deep neural networks on devices with limited resources poses a significant load in IoT systems. To alleviate the load, one innovative method is branching that adds extra layers with classification exits to a pre‐trained model, enabling inputs with hi...

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Bibliographic Details
Main Authors: Cailen Robertson, Ngoc Anh Tong, Thanh Toan Nguyen, Quoc Viet Hung Nguyen, Jun Jo
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
branching DNNs
dirichlet uncertainty
energy based models
Online Access:https://doi.org/10.1049/cit2.12384
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https://doi.org/10.1049/cit2.12384

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