Learning Low-Rank Structured Sparsity in Recurrent Neural Networks.
Weijing WenFan YangYangfeng SuDian ZhouXuan ZengPublished in: ISCAS (2020)
Keyphrases
- group sparsity
- structured sparsity
- low rank
- recurrent neural networks
- learning problems
- group lasso
- learning algorithm
- learning process
- statistical learning
- matrix factorization
- feed forward
- linear combination
- higher order
- supervised learning
- semi supervised
- high dimensional data
- singular value decomposition
- learning tasks
- sparse coding
- convex optimization
- multi task learning
- active learning
- artificial neural networks