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Found 2 papers, 1 papers with code
Knowing Where and What: Unified Word Block Pretraining for Document Understanding
In this paper, we focus on the embedding learning of word blocks containing text and layout information, and propose UTel, a language model with Unified TExt and Layout pre-training.
Alleviation of Gradient Exploding in GANs: Fake Can Be Real
In order to alleviate the notorious mode collapse phenomenon in generative adversarial networks (GANs), we propose a novel training method of GANs in which certain fake samples are considered as real ones during the training process.
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