Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Light curve classification with recurrent neural networks for GOTO:
  dealing with imbalanced data   The advent of wide-field sky surveys has led to the growth of transient and
variable source discoveries. The data deluge produced by these surveys has
necessitated the use of machine learning (ML) and deep learning (DL) algorithms
to sift through the vast incoming data stream. A problem that arises in
real-world applications of learning algorithms for classification is imbalanced
data, where a class of objects within the data is underrepresented, leading to
a bias for over-represented classes in the ML and DL classifiers. We present a
recurrent neural network (RNN) classifier that takes in photometric time-series
data and additional contextual information (such as distance to nearby galaxies
and on-sky position) to produce real-time classification of objects observed by
the Gravitational-wave Optical Transient Observer (GOTO), and use an
algorithm-level approach for handling imbalance with a focal loss function. The
classifier is able to achieve an Area Under the Curve (AUC) score of 0.972 when
using all available photometric observations to classify variable stars,
supernovae, and active galactic nuclei. The RNN architecture allows us to
classify incomplete light curves, and measure how performance improves as more
observations are included. We also investigate the role that contextual
information plays in producing reliable object classification.

28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
1
The categories of this paper are: cs
20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics