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cs.LG2025
Multi-Modal Continual Learning via Cross-Modality Adapters and Representation Alignment with Knowledge Preservation
Evelyn Chee, Wynne Hsu, Mong Li Lee
Continual learning is essential for adapting models to new tasks while retaining previously acquired knowledge. While existing approaches predominantly focus on uni-modal data, mul…
cs.LG2025
Test-Time Adaptation by Causal Trimming
Yingnan Liu, Rui Qiao, Mong Li Lee +1
Test-time adaptation aims to improve model robustness under distribution shifts by adapting models with access to unlabeled target samples. A primary cause of performance degradati…