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Found 2 papers, 1 papers with code
Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks
Existing deep learning approaches for learning visual features tend to overlearn and extract more information than what is required for the task at hand.
A Modular Architecture for Unsupervised Sarcasm Generation
In this paper, we propose a novel framework for sarcasm generation; the system takes a literal negative opinion as input and translates it into a sarcastic version.
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