Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Singular Values of Convolutional Layers   We characterize the singular values of the linear transformation associated
with a standard 2D multi-channel convolutional layer, enabling their efficient
computation. This characterization also leads to an algorithm for projecting a
convolutional layer onto an operator-norm ball. We show that this is an
effective regularizer; for example, it improves the test error of a deep
residual network using batch normalization on CIFAR-10 from 6.2\% to 5.3\%.

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The categories of this paper are: hep-ex
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The categories of this paper are: funct-an
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The categories of this paper are: math-ph
2
The categories of this paper are: math
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The categories of this paper are: supr-con
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The categories of this paper are: nlin
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The categories of this paper are: gr-qc
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The categories of this paper are: bayes-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: patt-sol
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The categories of this paper are: adap-org
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The categories of this paper are: econ
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The categories of this paper are: chem-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: eess
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The categories of this paper are: q-bio