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Generative-Discriminative Complementary Learning
The majority of state-of-the-art deep learning methods are discriminative approaches, which model the conditional distribution of labels given inputs features. The success of such approaches heavily depends on high-quality labeled instances, which are not easy to obtain, especially as the number of...
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| Опубликовано в: : | Proc AAAI Conf Artif Intell |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7494202/ https://ncbi.nlm.nih.gov/pubmed/32944410 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1609/aaai.v34i04.6126 |
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