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Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification.
Huanrui Yang
Minxue Tang
Wei Wen
Feng Yan
Daniel Hu
Ang Li
Hai Li
Yiran Chen
Published in:
CoRR (2020)
Keyphrases
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low rank
singular values
neural network
matrix completion
rank minimization
pattern recognition
learning process
missing data
matrix factorization
stochastic gradient descent
linear combination
matrix decomposition
learning algorithm
dimensionality reduction
convex optimization
trace norm