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Dynamic transfer learning with progressive meta-task scheduler
Dynamic transfer learning refers to the knowledge transfer from a static source task with adequate label information to a dynamic target task with little or no label information. However, most existing theoretical studies and practical algorithms of dynamic transfer learning assume that the target t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669596/ https://www.ncbi.nlm.nih.gov/pubmed/36407326 http://dx.doi.org/10.3389/fdata.2022.1052972 |