Cargando…
Generative Adversarial Training for Supervised and Semi-supervised Learning
Neural networks have played critical roles in many research fields. The recently proposed adversarial training (AT) can improve the generalization ability of neural networks by adding intentional perturbations in the training process, but sometimes still fail to generate worst-case perturbations, th...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988301/ https://www.ncbi.nlm.nih.gov/pubmed/35401139 http://dx.doi.org/10.3389/fnbot.2022.859610 |