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Rule-Enhanced Active Learning for Semi-Automated Weak Supervision
A major bottleneck preventing the extension of deep learning systems to new domains is the prohibitive cost of acquiring sufficient training labels. Alternatives such as weak supervision, active learning, and fine-tuning of pretrained models reduce this burden but require substantial human input to...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281613/ https://www.ncbi.nlm.nih.gov/pubmed/35845102 http://dx.doi.org/10.3390/ai3010013 |