ICRL: independent causality representation learning for domain generalization
Abstract Domain generalization (DG) addresses the challenge of out-of-distribution (OOD) data; however, the reliance on statistical correlations during model development often introduces shortcut learning problems. Current approaches to mitigating these issues commonly involve the integration of cau...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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Nature Portfolio
2025-04-01
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| Serie: | Scientific Reports |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1038/s41598-025-96357-0 |
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