Showing 2025Show all
2 papers · 1 filter
cs.CV2025
AIM: Adaptive Intra-Network Modulation for Balanced Multimodal Learning
Shu Shen, C. L. Philip Chen, Tong Zhang
Multimodal learning has significantly enhanced machine learning performance but still faces numerous challenges and limitations. Imbalanced multimodal learning is one of the proble…
cs.CV2025
Reliable Multimodal Learning Via Multi-Level Adaptive DeConfusion
Tong Zhang, Shu Shen, C. L. Philip Chen
Multimodal learning enhances the performance of various machine learning tasks by leveraging complementary information across different modalities. However, existing methods often…