1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions.
Dongshuo YinYiran YangZhechao WangHongfeng YuKaiwen WeiXian SunPublished in: CVPR (2023)
Keyphrases
- low rank
- matrix factorization
- convex optimization
- missing data
- low rank matrix
- matrix completion
- linear combination
- semi supervised
- robust principal component analysis
- rank minimization
- high order
- singular value decomposition
- minimization problems
- trace norm
- matrix decomposition
- optical flow
- low rank matrices
- machine learning