Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity.
Shiyun XuZhiqi BuPratik ChaudhariIan J. BarnettPublished in: CoRR (2022)
Keyphrases
- deep learning
- group sparsity
- sparse coding
- unsupervised learning
- additive model
- feature selection
- structured sparsity
- dictionary learning
- machine learning
- linear model
- monte carlo simulation
- sparse representation
- dimensionality reduction
- text classification
- low rank
- compressive sensing
- feature space
- supervised learning
- model selection
- support vector
- weakly supervised
- group lasso
- natural images
- mental models
- learning problems
- support vector machine
- linear combination
- feature set
- co occurrence
- semi supervised
- data analysis
- pairwise
- image representation
- higher order
- least squares
- feature extraction
- knn