On the Impossibility of Fairness-Aware Learning from Corrupted Data.
Nikola KonstantinovChristoph H. LampertPublished in: AFCR (2021)
Keyphrases
- data sets
- prior knowledge
- database
- image data
- data analysis
- learning algorithm
- data structure
- supervised learning
- small number
- synthetic data
- unsupervised learning
- data collection
- knowledge acquisition
- online learning
- raw data
- learning process
- noisy data
- data quality
- human experts
- experimental data
- background knowledge
- domain experts
- learning models
- training examples
- labeled data
- input data
- data mining techniques
- data points
- data sources
- reinforcement learning
- database systems
- data mining