Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quantification in-the-wild: data-sets and baselines   Quantification is the task of estimating the class-distribution of a
data-set. While typically considered as a parameter estimation problem with
strict assumptions on the data-set shift, we consider quantification
in-the-wild, on two large scale data-sets from marine ecology: a survey of
Caribbean coral reefs, and a plankton time series from Martha's Vineyard
Coastal Observatory. We investigate several quantification methods from the
literature and indicate opportunities for future work. In particular, we show
that a deep neural network can be fine-tuned on a very limited amount of data
(25 - 100 samples) to outperform alternative methods.

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The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: ao-sci
3
The categories of this paper are: physics
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The categories of this paper are: q-fin
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The categories of this paper are: chao-dyn
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The categories of this paper are: solv-int