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Curved Representation Space of Vision Transformers
In this paper, we focus on the phenomenon that Transformers show higher robustness against corruptions than CNNs, while not being overconfident.
Personalized Federated Learning over non-IID Data for Indoor Localization
Localization and tracking of objects using data-driven methods is a popular topic due to the complexity in characterizing the physics of wireless channel propagation models.
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