Exploring probabilistic models for semi-supervised learning
<p>Deep neural networks are increasingly harnessed for computer vision tasks, thanks to their robust performance. However, their training demands large-scale labeled datasets, which are labor-intensive to prepare. Semi-supervised learning (SSL) offers a solution by learning from a mix of label...
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | Thesis |
| Idioma: | English |
| Publicado em: |
2023
|
| Assuntos: |