Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Representation Learning for Clustering via Building Consensus   In this paper, we focus on unsupervised representation learning for
clustering of images. Recent advances in deep clustering and unsupervised
representation learning are based on the idea that different views of an input
image (generated through data augmentation techniques) must be close in the
representation space (exemplar consistency), and/or similar images must have
similar cluster assignments (population consistency). We define an additional
notion of consistency, consensus consistency, which ensures that
representations are learned to induce similar partitions for variations in the
representation space, different clustering algorithms or different
initializations of a single clustering algorithm. We define a clustering loss
by executing variations in the representation space and seamlessly integrate
all three consistencies (consensus, exemplar and population) into an end-to-end
learning framework. The proposed algorithm, consensus clustering using
unsupervised representation learning (ConCURL), improves upon the clustering
performance of state-of-the-art methods on four out of five image datasets.
Furthermore, we extend the evaluation procedure for clustering to reflect the
challenges encountered in real-world clustering tasks, such as maintaining
clustering performance in cases with distribution shifts. We also perform a
detailed ablation study for a deeper understanding of the proposed algorithm.
The code and the trained models are available at
https://github.com/JayanthRR/ConCURL_NCE.

12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
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The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
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The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con