Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.
Julius von KügelgenYash SharmaLuigi GreseleWieland BrendelBernhard SchölkopfMichel BesserveFrancesco LocatelloPublished in: CoRR (2021)
Keyphrases
- data quality
- data sets
- prior knowledge
- data processing
- image data
- data collection
- raw data
- background knowledge
- input data
- training data
- data distribution
- high quality
- data points
- missing data
- knowledge acquisition
- learning systems
- learning objects
- small number
- learning algorithm
- knowledge discovery
- experimental data
- multimedia data
- learning process
- data analysis
- spatial data
- sensor data
- data mining techniques
- learning tasks
- learned models
- textual content
- synthetic data
- high dimensional data
- computer systems
- online learning
- end users
- probabilistic model
- active learning
- xml documents
- learning environment
- data structure
- bayesian networks
- decision trees
- machine learning