DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting

ArXi:2601.21726v2 Announce Type: replace Deep time series models are vulnerable to noisy data ubiquitous in real-world applications. Existing robustness strategies either prune data or rely on costly prior quantification, failing to balance effectiveness and efficiency. In this paper, we