Thinking Beyond Distributions in Testing Machine Learned Models.
Negar RostamzadehBen HutchinsonChristina GreerVinodkumar PrabhakaranPublished in: CoRR (2021)
Keyphrases
- learned models
- generative model
- learning algorithm
- training data
- classification models
- probability distribution
- artificial intelligence
- test cases
- test set
- neural network
- power law
- test data
- probabilistic model
- prior knowledge
- artificial neural networks
- pattern recognition
- image processing
- joint distribution
- e learning
- real time
- exponential family
- exponential distributions