Abstract: Although text-to-image (T2I) models have recently thrived as visual generative priors, their reliance on high-quality text-image pairs makes scaling up expensive. We argue that grasping the ...
Abstract: It looks at the improvements made in NLP achieved by transformer-based models, with special focus on BERT (i.e. Bidirectional Encoder Representations from Transformers), which have already ...
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