
MIDAS Makes Incomplete Multimodal Sentiment More Reliable
MIDAS is a unified framework for sentiment analysis when multimodal inputs are missing or corrupted. It disentangles shared and modality-specific information, then uses uncertainty-aware fusion to prioritize more reliable latent features.




