Abstract: Multi-task inference, as a prevalent inference paradigm nowadays, requires deploying multiple deep learning models on the hardware platform to concurrently process inference tasks. Modern ...
Deep learning emerges as an important new resource-intensive workload and has been successfully applied in computer vision, speech, natural language processing, and so on. Distributed deep learning is ...
Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks
Abstract: Trajectory similarity computation is critical to various spatial data-related applications. To date, many deep learning-based approaches have been proposed to approximate trajectory ...
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