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

Huang, Longfei et al.
arXiv (All) · Papers
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machine-learning
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
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