Evaluating Feature Attribution: An Information-Theoretic Perspective.
Yao RongTobias LeemannVadim BorisovGjergji KasneciEnkelejda KasneciPublished in: CoRR (2022)
Keyphrases
- information theoretic
- information theory
- mutual information
- distributional clustering
- theoretic framework
- information theoretic measures
- information bottleneck
- kullback leibler divergence
- jensen shannon divergence
- feature vectors
- multi modality
- entropy measure
- log likelihood
- kl divergence
- minimum description length
- multi class
- feature selection
- computational learning theory
- machine learning
- computer vision