Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization

arXiv:2403.05209v1 Announce Type: new
Abstract: While there have been considerable advancements in machine learning driven by extensive datasets, a significant disparity still persists in the availability of data across various sources and populations. This inequality across domains poses challenges in modeling for those with limited data, which can lead to profound practical and ethical concerns. In this paper, we address a representative case of data inequality problem across domains termed Semi-Supervised Domain Generalization (SSDG), in which only one domain is …

abstract arxiv availability challenges cs.ai cs.cv cs.lg data datasets domain domains inequality machine machine learning modeling semi-supervised type