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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 of its theoretical promise for linear regression, the challenges of using IRM in l...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955031/ https://www.ncbi.nlm.nih.gov/pubmed/36832560 http://dx.doi.org/10.3390/e25020193 |