Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks.
Verya MonjeziAshutosh TrivediGang TanSaeid Tizpaz-NiariPublished in: CoRR (2023)
Keyphrases
- information theoretic
- neural network
- information theory
- mutual information
- competitive learning
- theoretic framework
- software testing
- information bottleneck
- jensen shannon divergence
- information theoretic measures
- kullback leibler divergence
- computational learning theory
- pattern recognition
- log likelihood
- entropy measure
- multi modality
- test cases
- feature selection
- kl divergence
- minimum description length
- jensen shannon
- multi class
- computer vision