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Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds.
Cenk Baykal
Lucas Liebenwein
Igor Gilitschenski
Dan Feldman
Daniela Rus
Published in:
CoRR (2018)
Keyphrases
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data dependent
generalization bounds
neural network
risk bounds
data compression
empirical risk minimization
back propagation
pattern recognition
uniform convergence
rademacher complexity
learning theory
multiscale
active learning
markov random field
theoretical framework
hash functions