To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...
Abstract: Multi-task learning (MTL) is a standard learning paradigm in machine learning. The central idea of MTL is to capture the shared knowledge among multiple tasks for mitigating the problem of ...
Abstract: The recommendation system is an effective approach to alleviate the information overload caused by the popularization of the Internet. Existing recommendation methods often use advanced deep ...
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