2024
Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning
ICASSP 2024accepted
Deep correlation-based multiview representation learning techniques have become increasingly popular methods for extracting highly correlated representations from multiview data. However, their ability to find highly complex mappings between the views can also lead to overfitting and overly correlat…