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Multi Task Networks with Universe, Group, and Task Feature Learning

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Figure 1: The Pa, btecture, which learns universe, group, and task features.Three tasksARALLEL[UNIV+GROUP+TASK] archi- a, b, and c are illustrated in the figure where ∈ group1 and c ∈ group2.
Figure 2: Three serial MTL architectures. In each ofthese architectures, individual decoders utilize all threesets of features (task, universe, and group features) toperform a task
Figure 3: JOINT-SF-IC model.
Table 3: Statistics of the Alexa dataset.
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