Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Picking groups instead of samples: A close look at Static Pool-based
  Meta-Active Learning   Active Learning techniques are used to tackle learning problems where
obtaining training labels is costly. In this work we use Meta-Active Learning
to learn to select a subset of samples from a pool of unsupervised input for
further annotation. This scenario is called Static Pool-based Meta- Active
Learning. We propose to extend existing approaches by performing the selection
in a manner that, unlike previous works, can handle the selection of each
sample based on the whole selected subset.

17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg