Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.
Julius von KügelgenYash SharmaLuigi GreseleWieland BrendelBernhard SchölkopfMichel BesserveFrancesco LocatelloPublished in: NeurIPS (2021)
Keyphrases
- data sets
- data collection
- data sources
- data analysis
- online learning
- data structure
- training data
- learning systems
- data distribution
- learning algorithm
- knowledge discovery
- supervised learning
- background knowledge
- statistical analysis
- computer systems
- multimedia data
- bayesian methods
- prior knowledge
- reinforcement learning
- knowledge acquisition
- data points
- probability distribution
- e learning
- search engine
- data mining
- database