Explaining Deep Learning Models - A Bayesian Non-parametric Approach.
Wenbo GuoSui HuangYunzhe TaoXinyu XingLin LinPublished in: CoRR (2018)
Keyphrases
- learning models
- gaussian processes
- learning algorithm
- learning tasks
- loss function
- machine learning
- semi supervised learning
- machine learning algorithms
- classification models
- conditional random fields
- learning problems
- learning paradigms
- machine learning models
- bayesian models
- bayesian networks
- semi supervised
- computer vision
- maximum likelihood
- natural language
- support vector
- sparse metric learning