AINeutralarXiv – CS AI · 14h ago5/10
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Balancing Multimodal Learning through Label Space Reshaping
Researchers propose Balanced Multimodal Label Reshaping (BMLR), a novel machine learning approach that addresses modality imbalance in multimodal systems by reshaping label spaces rather than adjusting optimization gradients. The method equalizes mapping difficulty across different data modalities, enabling more balanced learning and improved overall performance across various neural network architectures.