Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training.
Xinwei OuZhangxin ChenCe ZhuYipeng LiuPublished in: CoRR (2023)
Keyphrases
- low rank
- deep learning
- convex optimization
- matrix factorization
- low rank matrix
- matrix completion
- linear combination
- machine learning
- high dimensional data
- missing data
- supervised learning
- rank minimization
- semi supervised
- singular value decomposition
- stochastic gradient descent
- unsupervised learning
- norm minimization
- training samples
- multi class
- decision trees