Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization.
Kevin BuiFredrick ParkShuai ZhangYingyong QiJack XinPublished in: Frontiers Appl. Math. Stat. (2020)
Keyphrases
- structured sparsity
- convolutional neural networks
- group sparsity
- sparsity inducing
- statistical learning
- group lasso
- compressive sensing
- convex optimization
- convex optimization problems
- learning problems
- objective function
- regularization methods
- optimization problems
- global optimization
- variable selection
- greedy algorithm
- regression model
- efficient optimization
- regularization term
- machine learning