Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity.
Shiyun XuZhiqi BuPratik ChaudhariIan J. BarnettPublished in: ECML/PKDD (3) (2023)
Keyphrases
- deep learning
- group sparsity
- sparse coding
- unsupervised learning
- additive model
- feature selection
- structured sparsity
- dictionary learning
- sparse representation
- machine learning
- monte carlo simulation
- linear model
- low rank
- supervised learning
- text classification
- natural images
- statistical learning
- compressive sensing
- dimensionality reduction
- feature space
- linear combination
- model selection
- learning problems
- weakly supervised
- data sets
- expectation maximization
- mental models
- feature extraction
- support vector machine
- reinforcement learning
- feature set
- text mining
- multi class
- group lasso
- high dimensional
- object recognition
- high dimensional data