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Auxiliary Learning
Auxiliary learning aims to discover or design auxiliary tasks that can enhance the performance of one or more primary tasks. By introducing additional supervisory signals related to the main tasks, auxiliary learning can improve the model's generalization ability, increase learning efficiency and performance, thereby achieving better results in complex tasks.
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