Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix

Ruocheng Guo, Pengchuan Zhang, Hao Liu +1

This work considers the out-of-distribution (OOD) prediction problem where (1)~the training data are from multiple domains and (2)~the test domain is unseen in the training. DNNs f…