DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization

Jiaqi Wang, Yuhang Zhou, Zhixiong Zhang +3

Out-of-distribution generalization is a common problem that expects the model to perform well in the different distributions even far from the train data. A popular approach to add…