When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data.
Peter HaseMohit BansalPublished in: CoRR (2021)
Keyphrases
- data processing
- database
- generating explanations
- probabilistic model
- statistical inference
- data collection
- raw data
- experimental data
- large scale data sets
- historical data
- original data
- small number
- data sets
- data representations
- formal models
- statistical analysis
- knowledge discovery
- training data
- synthetic data
- data distribution
- formal model
- incomplete data
- data sources
- high dimensional
- learned models
- data analysis
- accurate models
- high quality
- neural network