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pro vyhledávání: '"Pollard, Amelia Elizabeth"'
We present here a model to take advantage of the multi-task nature of complex datasets by learning to separate tasks and subtasks in and end to end manner by biasing competitive interactions in the network. This method does not require additional lab
Externí odkaz:
http://arxiv.org/abs/2007.02833
Visual Question Answering(VQA) is a highly complex problem set, relying on many sub-problems to produce reasonable answers. In this paper, we present the hypothesis that Visual Question Answering should be viewed as a multi-task problem, and provide
Externí odkaz:
http://arxiv.org/abs/2007.01780