Explaining Deep Learning Models with Constrained Adversarial Examples.
Jonathan MooreNils HammerlaChris WatkinsPublished in: PRICAI (1) (2019)
Keyphrases
- learning models
- learning paradigms
- machine learning
- learning algorithm
- loss function
- learning tasks
- semi supervised learning
- classification models
- machine learning algorithms
- learning problems
- machine learning models
- conditional random fields
- sparse metric learning
- concept classes
- data mining
- training examples
- support vector machine
- similarity measure
- information retrieval
- data sets