FADE adapts to sequential covariate shift by combining a Fisher-weighted KL shift signal with a smoothed Fisher information regularizer, reporting gains on vision, text, and tabular benchmarks.
Causal covariate shift correction using fisher information penalty
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Adapting to Fragmented and Evolving Data: A Fisher Information Perspective
FADE adapts to sequential covariate shift by combining a Fisher-weighted KL shift signal with a smoothed Fisher information regularizer, reporting gains on vision, text, and tabular benchmarks.