Out-of-distribution Generalization with Causal Invariant Transformations

Ruoyu Wang, Mingyang Yi, Zhitang Chen +1

In real-world applications, it is important and desirable to learn a model that performs well on out-of-distribution (OOD) data. Recently, causality has become a powerful tool to t…