Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning to compute inner consensus: A novel approach to modeling
  agreement between Capsules   This project considers Capsule Networks, a recently introduced machine
learning model that has shown promising results regarding generalization and
preservation of spatial information with few parameters. The Capsule Network's
inner routing procedures thus far proposed, a priori, establish how the routing
relations are modeled, which limits the expressiveness of the underlying model.
In this project, we propose two distinct ways in which the routing procedure
can be learned like any other network parameter.

13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org