AntMan: Sparse Low-Rank Compression to Accelerate RNN inference.
Samyam RajbhandariHarsh ShrivastavaYuxiong HePublished in: CoRR (2019)
Keyphrases
- low rank
- low rank matrix
- rank minimization
- low rank subspace
- low rank matrices
- nuclear norm
- sparsity constraints
- low rank representation
- robust principal component analysis
- linear combination
- missing data
- convex optimization
- group sparsity
- kernel matrices
- singular value decomposition
- matrix factorization
- nearest neighbor
- matrix completion
- low rank approximation
- high dimensional data
- matrix decomposition
- regularized regression
- kernel matrix
- high order
- semi supervised
- tensor decomposition
- sparse coding
- high dimensional
- sparse matrix
- binary matrices
- neural network
- data matrix
- low rank and sparse
- small number
- sparse representation
- minimization problems
- data sets
- bayesian networks
- training data
- affinity matrix