Sparse subnetwork inference for neural network epistemic uncertainty estimation with improved Hessian approximation
Despite significant advances in deep neural networks across diverse domains, challenges persist in safety-critical contexts, including domain shift sensitivity and unreliable uncertainty estimation. To address these issues, this study investigates Bayesian learning for uncertainty handling in modern...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
AIP Publishing LLC
2024-06-01
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| Serie: | APL Machine Learning |
| Accesso online: | http://dx.doi.org/10.1063/5.0193951 |
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