Daniel C. Castro

Domain Generalization via Model-Agnostic Learning of Semantic Features

2019 · arXiv (Cornell University)

Generalization capability to unseen domains is crucial for machine learning models when deploying to real-world conditions. We investigate the challenging problem of domain generalization, i.e., training a model on multi-domain source data such that it …