-regularized DNNs: Attraction/Repulsion and Sparsity.
Arthur JacotEugene GolikovClément HonglerFranck GabrielPublished in: CoRR (2022)
Keyphrases
- model selection
- attraction repulsion
- sparsity inducing
- variable selection
- sparsity constraints
- sparse reconstruction
- regression model
- group lasso
- mixed norm
- structured sparsity
- sparse representation
- least squares
- high dimensional
- total least squares
- machine learning
- real time
- regularized least squares
- compressive sampling
- data sparsity
- cross domain collaborative filtering
- regularization framework
- low rank
- sparse coding
- image reconstruction
- image processing
- neural network