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Found 2 papers, 1 papers with code
Approximating Human Judgment of Generated Image Quality
Generative models have made immense progress in recent years, particularly in their ability to generate high quality images.
Representing Social Media Users for Sarcasm Detection
We explore two methods for representing authors in the context of textual sarcasm detection: a Bayesian approach that directly represents authors' propensities to be sarcastic, and a dense embedding approach that can learn interactions between the author and the text.
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