Compression of Deep Neural Networks by Combining Pruning and Low Rank Decomposition.
Saurabh GoyalAnamitra Roy ChoudhuryVivek SharmaPublished in: IPDPS Workshops (2019)
Keyphrases
- low rank
- neural network
- tensor decomposition
- convex optimization
- missing data
- matrix factorization
- singular value decomposition
- rank minimization
- low rank matrix
- linear combination
- matrix completion
- semi supervised
- high order
- matrix decomposition
- high dimensional data
- kernel matrix
- singular values
- pattern recognition
- image compression
- minimization problems
- low rank matrices
- image sequences
- trace norm
- active learning
- recommender systems
- high dimensional
- knn
- data sets
- natural images
- machine learning
- data mining
- binary matrix
- low rank and sparse