2025
MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning
NeurIPS 2025poster
Multimodal models often over-rely on dominant modalities, failing to achieve optimal performance. While prior work focuses on modifying training objectives or optimization procedures, data-centric solutions remain underexplored. We propose MIDAS, a novel data augmentation strategy that generates mis…