AI RESEARCH
RG-TTA: Regime-Guided Meta-Control for Test-Time Adaptation in Streaming Time Series
arXiv CS.LG
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ArXi:2603.27814v1 Announce Type: new Test-time adaptation (TTA) enables neural forecasters to adapt to distribution shifts in streaming time series, but existing methods apply the same adaptation intensity regardless of the nature of the shift. We propose Regime-Guided Test-Time Adaptation (RG-TTA), a meta-controller that continuously modulates adaptation intensity based on distributional similarity to previously-seen regimes.