The Low-Rank Simplicity Bias in Deep Networks.
Minyoung HuhHossein MobahiRichard ZhangBrian CheungPulkit AgrawalPhillip IsolaPublished in: CoRR (2021)
Keyphrases
- low rank
- missing data
- convex optimization
- linear combination
- matrix completion
- low rank matrix
- matrix factorization
- rank minimization
- matrix decomposition
- kernel matrix
- singular value decomposition
- semi supervised
- high order
- high dimensional data
- low rank matrices
- network structure
- trace norm
- robust principal component analysis
- complex networks
- biological networks
- data matrix
- affinity matrix
- non rigid structure from motion
- singular values
- collaborative filtering
- recommender systems