Sharpness-Aware Minimization Leads to Low-Rank Features.
Maksym AndriushchenkoDara BahriHossein MobahiNicolas FlammarionPublished in: NeurIPS (2023)
Keyphrases
- low rank
- missing data
- minimization problems
- linear combination
- matrix completion
- feature vectors
- semi supervised
- singular value decomposition
- convex optimization
- image features
- rank minimization
- matrix factorization
- singular values
- low rank matrices
- matrix decomposition
- trace norm
- feature extraction
- data matrix
- kernel matrix
- feature space
- pattern recognition