Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks.
Parth PadalkarGopal GuptaPublished in: CoRR (2023)
Keyphrases
- logic programming
- convolutional neural networks
- logic programs
- answer set programming
- deductive databases
- knowledge representation
- programming language
- knowledge base
- answer sets
- logic programming language
- knowledge representation language
- nonmonotonic reasoning
- knowledge representation and reasoning
- constraint logic programming
- default logic
- computational logic
- data mining
- reasoning about actions
- probabilistic reasoning
- inductive logic programming
- stable models
- classical logic
- background knowledge
- linear logic
- normal logic programs
- fixpoint
- general purpose
- software engineering
- bayesian networks
- propositional variables
- databases
- convolutional network