Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Deeper Generative Architectures for GANs using Dense connections   In this paper, we present the result of adopting skip connections and dense
layers, previously used in image classification tasks, in the Fisher GAN
implementation. We have experimented with different numbers of layers and
inserting these connections in different sections of the network. Our findings
suggests that networks implemented with the connections produce better images
than the baseline, and the number of connections added has only slight effect
on the result.

4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
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The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
3
The categories of this paper are: physics