Spartan: Differentiable Sparsity via Regularized Transportation.
Kai Sheng TaiTai-Peng TianSer Nam LimPublished in: NeurIPS (2022)
Keyphrases
- sparsity constraints
- objective function
- sparsity inducing
- loss function
- sparse representation
- high dimensional
- transportation problem
- total least squares
- transportation systems
- risk minimization
- mixed norm
- hardware architecture
- sparse reconstruction
- low rank
- orthogonal matching pursuit
- structured sparsity
- regularized least squares
- sparse approximation
- image processing
- face recognition
- negative matrix factorization
- intelligent transportation systems
- decision making
- public transport
- nonnegative matrix factorization
- sparse coding
- image restoration
- transportation costs
- transportation networks
- compressed sensing