3 papers
eess.SP2024
Rolling bearing fault diagnosis method based on generative adversarial enhanced multi-scale convolutional neural network model
Maoxuan Zhou, Wei Kang, Kun He
In order to solve the problem that current convolutional neural networks can not capture the correlation features between the time domain signals of rolling bearings effectively, a…
cs.LG2024
CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay
Jianshu Zhang, Yankai Fu, Ziheng Peng +2
This paper introduces a novel perspective to significantly mitigate catastrophic forgetting in continuous learning (CL), which emphasizes models' capacity to preserve existing know…
cs.CV2023
BCN: Batch Channel Normalization for Image Classification
Afifa Khaled, Chao Li, Jia Ning +1
Normalization techniques have been widely used in the field of deep learning due to their capability of enabling higher learning rates and are less careful in initialization. Howev…