Revisiting Multi-Task Learning in the Deep Learning Era

28 Apr 2020Simon VandenhendeStamatios GeorgoulisMarc ProesmansDengxin DaiLuc Van Gool

Despite the recent progress in deep learning, most approaches still go for a silo-like solution, focusing on learning each task in isolation: training a separate neural network for each individual task. Many real-world problems, however, call for a multi-modal approach and, therefore, for multi-tasking models... (read more)

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