Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder. (arXiv:2205.07649v2 [cs.LG] UPDATED)

Web: http://arxiv.org/abs/2205.07649

Domain generalization aims to improve the generalization capability of
machine learning systems to out-of-distribution (OOD) data. Existing domain
generalization techniques embark upon stationary and discrete environments to
tackle the generalization issue caused by OOD data. However, many real-world
tasks in non-stationary environments (e.g. self-driven car system, sensor
measures) involve more complex and continuously evolving domain drift, which
raises new challenges for the problem of domain generalization. In this paper,
we formulate the aforementioned setting as the problem of evolving domain …

arxiv autoencoder lg