The Low-Rank Simplicity Bias in Deep Networks.
Minyoung HuhHossein MobahiRichard ZhangBrian CheungPulkit AgrawalPhillip IsolaPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- low rank
- missing data
- matrix factorization
- convex optimization
- low rank matrix
- linear combination
- semi supervised
- matrix completion
- singular value decomposition
- rank minimization
- high order
- matrix decomposition
- singular values
- kernel matrix
- high dimensional data
- robust principal component analysis
- pairwise
- data matrix
- trace norm
- network structure
- dimensionality reduction
- collaborative filtering
- interior point methods
- affinity matrix
- feature extraction
- computer vision
- neural network
- low rank matrices
- data sets