2026
IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation
ICLR 2026poster
Test-time adaptation (TTA) has been widely explored to prevent performance degradation when test data differ from the training distribution. However, fully leveraging the rich representations of large pretrained models with minimal parameter updates remains underexplored. In this paper, we propose a…