AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning.
Ruiyi ZhangRushi QiangSai Ashish SomayajulaPengtao XiePublished in: CoRR (2024)
Keyphrases
- low rank
- meta learning
- linear combination
- convex optimization
- singular value decomposition
- missing data
- low rank matrix
- inductive learning
- matrix factorization
- rank minimization
- model selection
- matrix decomposition
- matrix completion
- trace norm
- high dimensional data
- decision trees
- semi supervised
- learning tasks
- factorization methods
- high order
- machine learning algorithms
- feature selection
- base classifiers
- singular values
- low rank matrices
- binary matrix
- low rank and sparse
- machine learning
- pairwise
- data mining
- data matrix
- metamodel
- small number