4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 4 cited
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuning
Ovanes Petrosian, Li Pengyi, He Yulong +4
Rolling bearing fault detection has developed rapidly in the field of fault diagnosis technology, and it occupies a very important position in this field. Deep learning-based beari…
cs.LG2023
Stationary Point Losses for Robust Model
Weiwei Gao, Dazhi Zhang, Yao Li +2
The inability to guarantee robustness is one of the major obstacles to the application of deep learning models in security-demanding domains. We identify that the most commonly use…