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Attention-based representations for multi-task computation

Hsu, Daniel et al.
arXiv (All) · Papers
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artificial-intelligencecomputational-complexitymachine-learning
Multi-head attention layers produce vector representations that support multiple downstream tasks. We establish bounds on the number of heads required in two simple and concrete multi-task scenarios. In the first scenario, a vector representation is sought so that linear predictors can compute both
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