Advances and Challenges in Large Model Compression: A Survey

Author:

Xu Yingying1ORCID,Song Chunhe1ORCID,Sun Yong1ORCID,Yu Shimao1ORCID

Affiliation:

1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China

Funder

NSFC

Publisher

ACM

Reference28 articles.

1. Bubble Detection in Photoresist with Small Samples Based on GAN Augmentations and Modified YOLO;Guang Yang;Engineering Applications of Artificial Intelligence,2023

2. A Lightweight Fault Diagnosis Method of Beam Pumping Units Based on Dynamic Warping Matching and Parallel Deep Network

3. Zhu X, Li J, Liu Y, A survey on model compression for large language models[J]. arXiv preprint arXiv:2308.07633, 2023.

4. Xu C, McAuley J. A survey on model compression and acceleration for pretrained language models[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2023, 37(9): 10566-10575.

5. Tingting Wu, Chunhe Song, Peng Zeng, Efficient Federated Learning on Resource-Constrained Edge Devices Based on Model Pruning, Complex & Intelligent Systems, 2023, 1-15

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