Transfer of Machine Learning Fairness across Domains.
Candice SchumannXuezhi WangAlex BeutelJilin ChenHai QianEd H. ChiPublished in: CoRR (2019)
Keyphrases
- machine learning
- transfer learning
- cross domain
- machine learning algorithms
- learning tasks
- semi supervised learning
- machine learning methods
- machine learning and data mining
- decision trees
- transferring knowledge
- application domains
- knowledge transfer
- learning algorithm
- real world
- reinforcement learning
- inductive learning
- learning problems
- inductive bias
- artificial intelligence
- transfer knowledge
- unsupervised learning
- knowledge acquisition
- game theory
- text classification
- data sets
- natural language
- active learning
- search algorithm
- databases
- information retrieval
- computer vision
- human learning
- information systems
- explanation based learning
- target domain
- feature selection
- text mining
- pattern recognition
- model selection
- data analysis
- labeled data
- knowledge representation
- information extraction
- natural language processing
- collaborative filtering