SIDDA: SInkhorn Dynamic Domain Adaptation for image classification with equivariant neural networks
Modern neural networks (NNs) often do not generalize well in the presence of a ‘covariate shift’; that is, in situations where the training and test data distributions differ, but the conditional distribution of classification labels given the data remains unchanged. In such cases, NN generalization...
Gardado en:
| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IOP Publishing
2025-01-01
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| Series: | Machine Learning: Science and Technology |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1088/2632-2153/adf701 |
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