Evaluating the Unsupervised Learning of Disentangled Representations

Posted by Olivier Bachem, Research Scientist, Google AI Zürich The ability to understand high-dimensional data, and to distill that knowledge into useful representations in an unsupervised manner, remains a key challenge in deep learning. One approach to solving these challenges is through disentangled representations, models that capture the independent features of a given scene in such a way that if one feature changes, the others remain unaffected. If done successfully, a machine learning sys...

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