Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unsupervised Semantic Aggregation and Deformable Template Matching for
  Semi-Supervised Learning   Unlabeled data learning has attracted considerable attention recently.
However, it is still elusive to extract the expected high-level semantic
feature with mere unsupervised learning. In the meantime, semi-supervised
learning (SSL) demonstrates a promising future in leveraging few samples. In
this paper, we combine both to propose an Unsupervised Semantic Aggregation and
Deformable Template Matching (USADTM) framework for SSL, which strives to
improve the classification performance with few labeled data and then reduce
the cost in data annotating. Specifically, unsupervised semantic aggregation
based on Triplet Mutual Information (T-MI) loss is explored to generate
semantic labels for unlabeled data. Then the semantic labels are aligned to the
actual class by the supervision of labeled data. Furthermore, a feature pool
that stores the labeled samples is dynamically updated to assign proxy labels
for unlabeled data, which are used as targets for cross-entropy minimization.
Extensive experiments and analysis across four standard semi-supervised
learning benchmarks validate that USADTM achieves top performance (e.g.,
90.46$\%$ accuracy on CIFAR-10 with 40 labels and 95.20$\%$ accuracy with 250
labels). The code is released at https://github.com/taohan10200/USADTM.

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The categories of this paper are: hep-ph
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-lat
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The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph