InfoBound : A Provable Information-Bounds Inspired Framework for Both OoD Generalization and OoD Detection
In real-world scenarios, distribution shifts give rise to the importance of two problems: out-of-distribution (OoD) generalization, which focuses on models' generalization ability against covariate shifts (i.e., the changes of environments), and OoD detection, which aims to be aware of semantic...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 11 vom: 01. Okt., Seite 10227-10242
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| Auteur principal: |
Zhu, Lin
(Auteur) |
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| Autres auteurs: |
Yang, Yifeng,
Nie, Zichao,
Gao, Yuan,
Li, Jiarui,
Gu, Qinying,
Wang, Xinbing,
Zhou, Chenghu,
Ye, Nanyang |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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