Source-Learned Reliance for Selective Test-Time Adaptation of Multimodal Time Series
This work proposes CARAT, which decouples model reliance from runtime corruption detection to guide omission or attenuation, amortizing reliance estimation through source training and position CARAT as a practical default to wearable TTA, offering competitive robustness with modest computational requirements and benefi...