Explaining Deep Learning Models - A Bayesian Non-parametric Approach.
Wenbo GuoSui HuangYunzhe TaoXinyu XingLin LinPublished in: NeurIPS (2018)
Keyphrases
- learning models
- machine learning
- gaussian processes
- semi supervised learning
- learning tasks
- loss function
- learning algorithm
- conditional random fields
- learning paradigms
- machine learning algorithms
- classification models
- learning problems
- maximum likelihood
- bayesian networks
- learning environment
- machine learning models
- sparse metric learning
- prior knowledge
- artificial neural networks
- bayesian models