2026
AutoDA-Timeseries: Automated Data Augmentation for Time Series
ICLR 2026poster
Data augmentation is a fundamental technique in deep learning, widely applied in both representation learning and automated data augmentation (AutoDA). In representation learning, augmentations are used to construct contrastive views for learning task-agnostic embeddings, while in AutoDA the augment…