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cs.CV2024
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
Xiaoyu Yang, Jie Lu, En Yu
Multi-modal Large Language Models (MLLMs) frequently face challenges from concept drift when dealing with real-world streaming data, wherein distributions change unpredictably. Thi…
cs.LG2024
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
En Yu, Jie Lu, Bin Zhang +1
Multistream classification poses significant challenges due to the necessity for rapid adaptation in dynamic streaming processes with concept drift. Despite the growing research ou…