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Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias.
Ryo Karakida
Tomoumi Takase
Tomohiro Hayase
Kazuki Osawa
Published in:
CoRR (2022)
Keyphrases
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deep learning
finite difference
finite element
machine learning
unsupervised learning
partial differential equations
maximum likelihood
image features
higher order
numerical scheme