data augmentations
- Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
- Is Limited Participant Diversity Impeding EEG-based Machine Learning?
- Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
- TRACE: Contrastive learning for multi-trial time series data in neuroscience
- Test-Time Adaptation by Causal Trimming