Overparameterization Improves Robustness to Covariate Shift in High Dimensions.
Nilesh TripuraneniBen AdlamJeffrey PenningtonPublished in: NeurIPS (2021)
Keyphrases
- high dimensions
- covariate shift
- high dimensional data
- high dimensional
- high dimensional spaces
- model selection
- domain adaptation
- poor quality
- semi supervised learning
- data sets
- low dimensional
- distance measure
- active learning
- data analysis
- similarity measure
- image processing
- machine learning
- data generation
- data mining