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Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse.
Bradley T. Baker
Barak A. Pearlmutter
Robyn L. Miller
Vince D. Calhoun
Sergey M. Plis
Published in:
CoRR (2024)
Keyphrases
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low rank
network architecture
learning process
active learning
convex optimization
matrix factorization
semi supervised
artificial neural
neural network
pairwise
high dimensional data
missing data
high order
low rank matrix
rank minimization