Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models.
Zhenge ZhaoPanpan XuCarlos ScheideggerLiu RenPublished in: CoRR (2021)
Keyphrases
- learning models
- learning paradigms
- intermediate concepts
- machine learning
- learning algorithm
- semi supervised learning
- learning tasks
- loss function
- conditional random fields
- machine learning algorithms
- learning problems
- classification models
- information extraction
- machine learning models
- sparse metric learning
- generative model
- simulated annealing
- computer vision
- genetic algorithm