TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting.
Andrei MargeloiuAdrián BazagaNikola SimidjievskiPietro LiòMateja JamnikPublished in: CoRR (2024)
Keyphrases
- data sets
- training data
- input data
- data analysis
- raw data
- data points
- data distribution
- data processing
- data collection
- synthetic data
- data structure
- knowledge discovery
- database
- statistical analysis
- data quality
- learning algorithm
- original data
- missing values
- experimental data
- contextual information
- labeled data
- computer systems
- small number
- image data
- active learning
- high dimensional
- high quality