LoRA-GA: Low-Rank Adaptation with Gradient Approximation.
Shaowen WangLinxi YuJian LiPublished in: CoRR (2024)
Keyphrases
- low rank
- agent technology
- matrix decomposition
- convex optimization
- missing data
- genetic algorithm ga
- matrix factorization
- genetic algorithm
- linear combination
- low rank approximation
- low rank matrix
- matrix completion
- rank minimization
- singular value decomposition
- kernel matrix
- high dimensional data
- semi supervised
- high order
- data matrix
- approximation methods
- singular values
- low rank matrices
- robust principal component analysis
- piecewise constant
- minimization problems
- trace norm
- non rigid structure from motion
- software agents
- high dimensional
- image processing
- missing values
- electronic commerce
- image restoration
- higher order
- principal component analysis
- collaborative filtering
- least squares