Author

Bin Liu

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#machine learning Jul 2026

Regularizing modality contribution drift in multimodal continual learning

Continual Modality Contribution Drift Regularization (CMCDR) is proposed to preserve the modality contribution profiles of previously learned tasks in both replay-based and replay-free settings to mitigate forgetting in MMCL.

Zhen Zhang, Jielei Chu, Wen-Jie Ban et al. · arXiv.org · 0 citations