LAUSR

Counterfactual Supervision-Based Information Bottleneck for Out-of-Distribution Generalization

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1 Published in 2022 at "Entropy"

DOI: 10.3390/e25020193

Abstract: 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 of its theoretical promise for linear regression, the… read more here.

Keywords: irm; information bottleneck; counterfactual supervision; generalization ... See more keywords