Explaining Deep Learning Models using Causal Inference.
Tanmayee NarendraAnush SankaranDeepak VijaykeerthySenthil ManiPublished in: CoRR (2018)
Keyphrases
- learning models
- causal inference
- additive noise
- machine learning
- loss function
- learning algorithm
- learning tasks
- abductive reasoning
- causal models
- machine learning algorithms
- nonmonotonic reasoning
- semi supervised learning
- classification models
- rare events
- discrete data
- learning problems
- noisy images
- conditional random fields
- observational data
- decision trees
- data sets
- cost sensitive learning
- natural language
- prior knowledge