Test-time adaptation is stabilized by filtering unreliable samples, seeking flat entropy minima, and applying redundancy and inequity regularizers to pseudo-labeled class centroids.
Test-time training with masked autoencoders,
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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization
Test-time adaptation is stabilized by filtering unreliable samples, seeking flat entropy minima, and applying redundancy and inequity regularizers to pseudo-labeled class centroids.