2026
Multimodal Fusion via Self-Consistent Task-Gradient Fields
ICML 2026poster
Multimodal learning aims to preserve as much task-related information as possible from different inputs. However, current fusion designs often distort the feedback loop to feature extractors. Aggressively merging modalities entangles their representations, making the feature extractors fragile to in…