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

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...

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Bibliografiske detaljer
Main Authors: Bin Deng, Kui Jia
Format: Article
Sprog:English
Udgivet: MDPI AG 2023-01-01
Serier:Entropy
Fag:
out-of-distribution generalization
information bottleneck
causal learning
Online adgang:https://www.mdpi.com/1099-4300/25/2/193

Internet

https://www.mdpi.com/1099-4300/25/2/193

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