2 papers
stat.ML2026
Uncertainty-Aware Multimodal Learning via Conformal Shapley Intervals
Mathew Chandy, Michael Johnson, Judong Shen +4
Multimodal learning combines information from multiple data modalities to improve predictive performance. However, modalities often contribute unequally and in a data dependent way…
cs.CV2025
Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency
Hiroshi Tanaka, Anika Rao, Hana Satou +2
Multimodal Large Models (MLLMs) have achieved remarkable progress in vision-language understanding and generation tasks. However, existing MLLMs typically rely on static modality f…