Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Convolutional Deep Exponential Families   We describe convolutional deep exponential families (CDEFs) in this paper.
CDEFs are built based on deep exponential families, deep probabilistic models
that capture the hierarchical dependence between latent variables. CDEFs
greatly reduce the number of free parameters by tying the weights of DEFs. Our
experiments show that CDEFs are able to uncover time correlations with a small
amount of data.

5
The categories of this paper are: gr-qc
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The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
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The categories of this paper are: nlin
18
The categories of this paper are: econ
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
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The categories of this paper are: eess
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The categories of this paper are: solv-int
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph