Search Results for author:
Found 2 papers, 1 papers with code
Unsupervised one-to-many image translation
We perform completely unsupervised one-sided image to image translation between a source domain $X$ and a target domain $Y$ such that we preserve relevant underlying shared semantics (e. g., class, size, shape, etc).
Learning deep representations by mutual information estimation and maximization
In this work, we perform unsupervised learning of representations by maximizing mutual information between an input and the output of a deep neural network encoder.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
