Ryan Poirier

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Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for learning multiple tasks. The csMTL method is tested on three task domains and shown to produce hypotheses for a primary task that are significantly better than standard MTL(More)
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