Control the number of skip‐connects to improve robustness of the NAS algorithm
Abstract Recently, the gradient‐based neural architecture search has made remarkable progress with the characteristics of high efficiency and fast convergence. However, two common problems in the gradient‐based NAS algorithms are found. First, with the increase in the raining time, the NAS algorithm...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-08-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cvi2.12036 |