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Found 2 papers, 1 papers with code
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis
Generative models have been applied in the medical imaging domain for various image recognition and synthesis tasks.
Unsupervised Pretraining for Sequence to Sequence Learning
We apply this method to challenging benchmarks in machine translation and abstractive summarization and find that it significantly improves the subsequent supervised models.
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