PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation.
Nadav BenedekLior WolfPublished in: CoRR (2024)
Keyphrases
- low rank
- frobenius norm
- rank minimization
- nuclear norm
- convex optimization
- linear combination
- low rank matrix
- singular values
- missing data
- matrix completion
- singular value decomposition
- low rank approximation
- matrix factorization
- semi supervised
- kernel matrix
- high order
- high dimensional data
- matrix decomposition
- rank constraint
- trace norm
- low rank matrices
- robust principal component analysis
- higher order
- pattern recognition
- pairwise
- minimization problems
- affinity matrix
- principal component analysis
- object detection
- non rigid structure from motion
- small number
- data analysis
- similarity measure