HRIL: Learning Multimodal Synergy via Higher-Order Tensor Modeling
Self-supervised multimodal representation learning has achieved remarkable success across diverse domains, yet capturing synergistic information remains challenging due to the complexity of cross-modal interactions. Unlike the shared information across individual modalities, synergy arises when task-relevant signals emerge only from the joint configuration of multiple modalities and cannot be…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
