Efficient Test-Time Adaptation through Latent Subspace Coefficients Search
ELaTTA is a gradient-free method for single-instance Test-Time Adaptation designed for edge devices. It adapts test samples by optimizing a small set of latent coefficients within a pre-computed source-derived principal subspace. This approach achieves state-of-the-art accuracy while drastically reducing computational requirements and memory usage compared to traditional TTA methods.