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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...
Guardat en:
| Publicat a: | Proc AAAI Conf Artif Intell |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | 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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