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#machine learning Preprint Sep 2026

Confidence Falls Short: Asymmetric Certainty Gains from Optimization Hinder Multimodal Classification

Multimodal learning (MML) falls into the optimization dilemma due to the modality imbalance phenomenon, leading to suboptimal overall performance in practice. While many attempts primarily focus on balancing the optimization dynamics across modalities to address this issue, we identify a subtle yet critical flaw: optim...

Long-Fei Huang, Xiang-Yu Wu, Yang Yang · 0 citations
Sep 2026

Understanding Multimodal Learning From Modality Fusion and Alignment Perspectives.

This paper develops a dynamic strategy that jointly optimizes modality fusion and alignment, and develops a learning-based strategy using a bi-level optimization framework and theoretically proves the convergence of the learning algorithm to ensure its reliability.

Yang Yang, Feng-Qiang Wan, Qing-Jun Jiang et al. · 0 citations

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