PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation.
Nadav BenedekLior WolfPublished in: EACL (Findings) (2024)
Keyphrases
- low rank
- frobenius norm
- nuclear norm
- convex optimization
- singular values
- matrix completion
- matrix factorization
- missing data
- linear combination
- singular value decomposition
- low rank matrix
- rank minimization
- low rank approximation
- high order
- semi supervised
- matrix decomposition
- kernel matrix
- robust principal component analysis
- rank constraint
- high dimensional data
- trace norm
- data matrix
- data sets
- low rank representation
- low rank matrices
- interior point methods
- non rigid structure from motion
- minimization problems
- rank aggregation
- feature space
- computer vision
- machine learning
- neural network