1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee
Chenyang Li, Jihoon Chung, Mengnan Du +3
Model compression is a crucial part of deploying neural networks (NNs), especially when the memory and storage of computing devices are limited in many applications. This paper foc…
cs.CV2022★ 1 cited
Unsupervised Industrial Anomaly Detection via Pattern Generative and Contrastive Networks
Jianfeng Huang, Chenyang Li, Yimin Lin +1
It is hard to collect enough flaw images for training deep learning network in industrial production. Therefore, existing industrial anomaly detection methods prefer to use CNN-bas…