AI RESEARCH
Temporal Patch Shuffle (TPS): Leveraging Patch-Level Shuffling to Boost Generalization and Robustness in Time Series Forecasting
arXiv CS.LG
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ArXi:2604.09067v1 Announce Type: new Data augmentation is a crucial technique for improving model generalization and robustness, particularly in deep learning models where