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cs.LG2026
Representation Editing for Multimodal Test-Time Adaptation
Longfei Huang, Xiangyu Wu, Yang Yang
Multimodal test-time adaptation (TTA) aims to adapt a pretrained multimodal model online to distribution shift across modalities using unlabeled test data, showing broad potential…
cs.CV2026
Multimodal Classification via Total Correlation Maximization
Feng Yu, Xiangyu Wu, Yang Yang +1
Multimodal learning integrates data from diverse sensors to effectively harness information from different modalities. However, recent studies reveal that joint learning often over…
cs.CV2026
Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation
Xiangyu Wu, Dongming Jiang, Feng Yu +5
Mainstream Test-Time Adaptation (TTA) methods for adapting vision-language models, e.g., CLIP, typically rely on Shannon Entropy (SE) at test time to measure prediction uncertainty…