$\beta$-DARTS++ : Bi-level Regularization for Proxy-robust Differentiable Architecture Search
Neural Architecture Search (NAS) has attracted increasing attention in recent years because of its capability to design neural networks automatically. Among them, differential NAS approaches such as DARTS, have gained popularity for search efficiency. However, they still suffer from three main issue...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 01. Okt.
|
| 1. Verfasser: |
Ye, Peng
(VerfasserIn) |
| Weitere Verfasser: |
He, Tong,
Li, Baopu,
Chen, Tao,
Bai, Lei,
Ouyang, Wanli |
| Format: | Online-Aufsatz
|
| Sprache: | English |
| Veröffentlicht: |
2025
|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
| Schlagworte: | Journal Article |