Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unsupervised Learning Architecture for Classifying the Transient Noise
  of Interferometric Gravitational-wave Detectors   In the data of laser interferometric gravitational wave detectors, transient
noise with non-stationary and non-Gaussian features occurs at a high rate. It
often causes problems such as instability of the detector, hiding and/or
imitating gravitational-wave signals. This transient noise has various
characteristics in the time-frequency representation, which is considered to be
associated with environmental and instrumental origins. Classification of
transient noise can offer one of the clues for exploring its origin and
improving the performance of the detector. One approach for the classification
of these noises is supervised learning. However, generally, supervised learning
requires annotation of the training data, and there are issues with ensuring
objectivity in the classification and its corresponding new classes. On the
contrary, unsupervised learning can reduce the annotation work for the training
data and ensuring objectivity in the classification and its corresponding new
classes. In this study, we propose an architecture for the classification of
transient noise by using unsupervised learning, which combines a variational
autoencoder and invariant information clustering. To evaluate the effectiveness
of the proposed architecture, we used the dataset (time-frequency
two-dimensional spectrogram images and labels) of the LIGO first observation
run prepared by the Gravity Spy project. We obtain the consistency between the
label annotated by Gravity Spy project and the class provided by our proposed
unsupervised learning architecture and provide the potential for the existence
of the unrevealed classes.

16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
1
The categories of this paper are: cs
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph