Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...
Abstract: This paper proposes DGAEPPO, a graph autoencoder-integrated proximal policy optimization algorithm for dependent task offloading in edge computing. We model service-constrained tasks via ...
To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.
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