Method for Expanding Search Space With Hybrid Operations in DynamicNAS
Recently, a novel neural architecture search method, which is referred to as DynamicNAS (Dynamic Neural Architecture Search) in this paper, has shown great potential. Not only can various sizes of models be trained with a single training session through DynamicNAS, but the subnets trained by Dynamic...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10382520/ |