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Found 3 papers, 1 papers with code
Watch Where You Head: A View-biased Domain Gap in Gait Recognition and Unsupervised Adaptation
Unsupervised Domain Adaptation (UDA) tries to adapt a model, pre-trained in a supervised manner on a source domain, to an unlabelled target domain.
Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound
Mammography and ultrasound are extensively used by radiologists as complementary modalities to achieve better performance in breast cancer diagnosis.
Evaluating Text GANs as Language Models
Generative Adversarial Networks (GANs) are a promising approach for text generation that, unlike traditional language models (LM), does not suffer from the problem of ``exposure bias''.
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