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Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer
For model adaptation of fully connected neural network layers, we provide an information geometric and sample behavioral active learning uncertainty sampling objective analysis. We identify conditions under which several uncertainty-based methods have the same performance and show that such conditio...
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| Publicado no: | IEEE Signal Process Lett |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8224399/ https://ncbi.nlm.nih.gov/pubmed/34177215 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/lsp.2021.3072292 |
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