2025
Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace
NeurIPS 2025poster
Test-time adaptation (TTA) aims to adapt a source model to a target domain using only test data. Existing methods predominantly rely on unsupervised entropy minimization or its variants, which suffer from degeneration, leading to trivial solutions with low-entropy but inaccurate predictions. In this…