Multimodal Learning on Low-Quality Data with Conformal Predictive Self-Calibration
arXiv:2605.03820v1 Announce Type: cross
Abstract: Multimodal learning often grapples with the challenge of low-quality data, which predominantly manifests as two facets: modality imbalance and noisy corruption. While these issues are often studied in …