2 papers
cs.LG2026
Combining Adam and its Inverse Counterpart to Enhance Generalization of Deep Learning Optimizers
Tao Shi, Liangming Chen, Long Jin +1
In the training of neural networks, adaptive moment estimation (Adam) typically converges fast but exhibits suboptimal generalization performance. A widely accepted explanation for…
cs.LG2026
CLAIRE: Compressed Latent Autoencoder for Industrial Representation and Evaluation -- A Deep Learning Framework for Smart Manufacturing
Mohammadhossein Ghahramani, Mengchu Zhou
Accurate fault detection in high-dimensional industrial environments remains a major challenge due to the inherent complexity, noise, and redundancy in sensor data. This paper intr…