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cs.LG2025
Rebalanced Multimodal Learning with Data-aware Unimodal Sampling
Qingyuan Jiang, Zhouyang Chi, Xiao Ma +3
To address the modality learning degeneration caused by modality imbalance, existing multimodal learning~(MML) approaches primarily attempt to balance the optimization process of e…
cs.CV2025
Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
QingYuan Jiang, Longfei Huang, Yang Yang
Multimodal learning (MML) is significantly constrained by modality imbalance, leading to suboptimal performance in practice. While existing approaches primarily focus on balancing…