Attributing Learned Concepts in Neural Networks to Training Data.
Nicholas KonzCharles GodfreyMadelyn ShapiroJonathan TuHenry KvingeDavis BrownPublished in: CoRR (2023)
Keyphrases
- training data
- neural network
- training process
- learned from training data
- decision trees
- learning algorithm
- pattern recognition
- learned models
- test data
- artificial neural networks
- classification accuracy
- genetic algorithm
- back propagation
- domain knowledge
- concept learning
- input data
- training samples
- concept maps
- data sets
- noisy data
- supervised learning
- fuzzy logic
- support vector machine
- feature space
- background knowledge
- class labels
- test set
- multilayer perceptron
- training examples
- classification models
- neural nets
- multi layer
- training patterns