Multi-Fidelity Neural Architecture Search With Knowledge Distillation
Neural architecture search (NAS) targets at finding the optimal architecture of a neural network for a problem or a family of problems. Evaluations of neural architectures are very time-consuming. One of the possible ways to mitigate this issue is to use low-fidelity evaluations, namely training on...
Збережено в:
| Автори: | , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2023-01-01
|
| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/10007805/ |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|