HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens

Author:

Yang Zhaohui,Wang Yunhe,Chen Xinghao,Guo Jianyuan,Zhang Wei,Xu Chao,Xu Chunjing,Tao Dacheng,Xu Chang

Funder

National Natural Science Foundation of China

Australian Research Council

Publisher

IEEE

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards efficient filter pruning via adaptive automatic structure search;Engineering Applications of Artificial Intelligence;2024-07

2. Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-02

3. Deeply Supervised Block-Wise Neural Architecture Search;IEEE Transactions on Neural Networks and Learning Systems;2024

4. Eight years of AutoML: categorisation, review and trends;Knowledge and Information Systems;2023-08-08

5. EMT-NAS: Transferring architectural knowledge between tasks from different datasets;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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