Decorr: Environment Partitioning for Invariant Learning and OOD Generalization. (arXiv:2211.10054v1 [cs.LG])

Invariant learning methods try to find an invariant predictor across several
environments and have become popular in OOD generalization. However, in
situations where environments do not naturally exist in the data, they have to
be decided by practitioners manually. Environment partitioning, which splits
the whole training dataset into environments by algorithms, will significantly
influence the performance of invariant learning and has been left undiscussed.
A good environment partitioning method can bring invariant learning to
applications with more general settings and …

arxiv environment partitioning