Training Acceleration of Low-Rank Decomposed Networks using Sequential Freezing and Rank Quantization.
Habib HajimolahoseiniWalid AhmedYang LiuPublished in: CoRR (2023)
Keyphrases
- low rank
- frobenius norm
- linear combination
- missing data
- matrix factorization
- convex optimization
- singular values
- low rank matrix
- nuclear norm
- singular value decomposition
- semi supervised
- matrix completion
- high order
- rank minimization
- low rank approximation
- matrix decomposition
- high dimensional data
- low rank matrices
- trace norm
- kernel matrix
- training set
- minimization problems
- neural network
- complex networks
- training samples
- decision trees
- network structure
- collaborative filtering
- pairwise
- machine learning
- data sets
- robust principal component analysis