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cs.LG2026
Balancing Multimodal Learning through Label Space Reshaping
Xiaoyu Ma, Weijie Zhang, Yuanhao Gao +3
Multimodal learning often suffers from modality imbalance, where modalities that converge faster dominate optimization while others remain undertrained. Existing approaches typical…
cs.LG2025
Improving Multimodal Learning Balance and Sufficiency through Data Remixing
Xiaoyu Ma, Hao Chen, Yongjian Deng
Different modalities hold considerable gaps in optimization trajectories, including speeds and paths, which lead to modality laziness and modality clash when jointly training multi…