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Recent advances in variational autoencoders with representation learning for biomedical informatics: A survey
Variational autoencoders (VAEs) are deep latent space generative models that have been
immensely successful in multiple exciting applications in biomedical informatics such as …
immensely successful in multiple exciting applications in biomedical informatics such as …
Self-supervised learning disentangled group representation as feature
A good visual representation is an inference map from observations (images) to features
(vectors) that faithfully reflects the hidden modularized generative factors (semantics). In this …
(vectors) that faithfully reflects the hidden modularized generative factors (semantics). In this …