2025
Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation
NeurIPS 2025poster
Multimodal Dataset Distillation (MDD) seeks to condense large-scale image-text datasets into compact surrogates while retaining their effectiveness for cross-modal learning. Despite recent progress, existing MDD approaches often suffer from ***Modality Collapse***, characterized by over-concentrated…