Correlation-Decoupled Knowledge Distillation for Robust Multimodal Sentiment Analysis with Incomplete Modalities

A correlation-decoupled knowledge distillation framework that effectively captures and transfers comprehensive cross-sample, cross-category, and cross-response correlations to reconstruct missing semantics and generate robust joint multimodal representations for multimodal sentiment analysis under uncertain missing modalities.