Ben Usman

Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable\n Neural Distribution Alignment

2020 · arXiv (Cornell University)

Distribution alignment has many applications in deep learning, including\ndomain adaptation and unsupervised image-to-image translation. Most prior work\non unsupervised distribution alignment relies either on minimizing simple\nnon-parametric statistical distances such as maximum mean discrepancy or on\nadversarial alignment. …