Information-Theoretic Decomposition for Multimodal Interaction Learning 事件

Information-Theoretic Decomposition for Multimodal Interaction Learning arXiv:2606.11614v1 Announce Type: cross Abstract: Multimodal learning hinges on capturing redundant, unique, and synergistic information across modalities, which collectively constitute multimodal interactions. A critical yet underexplored challenge is that these implicit interactions vary dynamically across samples. In this work, we present the first systematic, information-theoretic analysis highlighting why learning thes