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Network Compression via Cooperative Architecture Search and Distillation
Neural Architecture Search (NAS) and its variants
are competitive in many computer vision tasks lately. In this
paper, we develop a Cooperative Architecture Search and Distillation (CASD) method for network compression. Compared with prior art, our method achieves better performance in ResNet-164 pruning on CIFAR-10 and CIFAR-100 image classifications, promising to be extended to other tasks.
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- PAR ID:
- 10335367
- Date Published:
- Journal Name:
- Proceedings IEEE International Conference on Artificial Intelligence for Industries
- ISSN:
- 2770-4718
- Page Range / eLocation ID:
- 42-43
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/DOI 10.1109/AI4I51902.2021.00018
