LoQT: Low Rank Adapters for Quantized Training.
Sebastian LoeschckeMads ToftrupMichael J. KastoryanoSerge J. BelongieVésteinn SnæbjarnarsonPublished in: CoRR (2024)
Keyphrases
- low rank
- missing data
- convex optimization
- matrix factorization
- linear combination
- rank minimization
- singular value decomposition
- semi supervised
- matrix completion
- low rank matrix
- kernel matrix
- high order
- high dimensional data
- supervised learning
- trace norm
- singular values
- training set
- matrix decomposition
- low rank matrices
- minimization problems
- least squares
- recommender systems
- data analysis
- computer vision
- data mining