Exploring Low Rank Training of Deep Neural Networks.
Siddhartha Rao KamalakaraAcyr LocatelliBharat VenkiteshJimmy BaYarin GalAidan N. GomezPublished in: CoRR (2022)
Keyphrases
- low rank
- neural network
- training process
- matrix factorization
- convex optimization
- linear combination
- missing data
- low rank matrix
- matrix completion
- singular value decomposition
- kernel matrix
- semi supervised
- rank minimization
- pattern recognition
- matrix decomposition
- high order
- robust principal component analysis
- high dimensional data
- training set
- trace norm
- supervised learning
- low rank representation
- low rank matrices
- computer vision
- markov random field
- dimensionality reduction
- higher order
- collaborative filtering
- denoising