Low-Rank Training of Deep Neural Networks for Emerging Memory Technology.
Albert GuralPhillip NadeauMehul TikekarBoris MurmannPublished in: CoRR (2020)
Keyphrases
- low rank
- neural network
- matrix factorization
- training process
- convex optimization
- matrix completion
- linear combination
- missing data
- rank minimization
- singular value decomposition
- matrix decomposition
- semi supervised
- low rank matrix
- high dimensional data
- trace norm
- kernel matrix
- pattern recognition
- low rank matrices
- data mining
- singular values
- low rank representation
- robust principal component analysis
- minimization problems
- high order
- nearest neighbor
- non rigid structure from motion
- stochastic gradient descent
- higher order
- object detection
- training set
- low rank and sparse