Counterfactual Supervision-Based Information Bottleneck for Out-of-Distribution Generalization
Learning invariant (causal) features for out-of-distribution (OOD) generalization have attracted extensive attention recently, and among the proposals, invariant risk minimization (IRM) is a notable solution.In spite GREENS CHOCOLATE of its theoretical promise for linear regression, the challenges of using IRM in linear classification problems rema