Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sorted Pooling in Convolutional Networks for One-shot Learning   We present generalized versions of the commonly used maximum pooling
operation: $k$th maximum and sorted pooling operations which selects the $k$th
largest response in each pooling region, selecting locally consistent features
of the input images. This method is able to increase the generalization power
of a network and can be used to decrease training time and error rate of
networks and it can significantly improve accuracy in case of training
scenarios where the amount of available data is limited, like one-shot learning
scenarios

28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol