Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning   Semi-supervised learning (SSL) has recently proven to be an effective
paradigm for leveraging a huge amount of unlabeled data while mitigating the
reliance on large labeled data. Conventional methods focused on extracting a
pseudo label from individual unlabeled data sample and thus they mostly
struggled to handle inaccurate or noisy pseudo labels, which degenerate
performance.
  In this paper, we address this limitation with a novel SSL framework for
aggregating pseudo labels, called AggMatch, which refines initial pseudo labels
by using different confident instances. Specifically, we introduce an
aggregation module for consistency regularization framework that aggregates the
initial pseudo labels based on the similarity between the instances. To enlarge
the aggregation candidates beyond the mini-batch, we present a class-balanced
confidence-aware queue built with the momentum model, encouraging to provide
more stable and consistent aggregation. We also propose a novel
uncertainty-based confidence measure for the pseudo label by considering the
consensus among multiple hypotheses with different subsets of the queue. We
conduct experiments to demonstrate the effectiveness of AggMatch over the
latest methods on standard benchmarks and provide extensive analyses.

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The categories of this paper are: math-ph
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The categories of this paper are: hep-th
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The categories of this paper are: stat
10
The categories of this paper are: q-bio
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The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
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The categories of this paper are: bayes-an
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The categories of this paper are: dg-ga
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The categories of this paper are: chao-dyn
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The categories of this paper are: nlin
29
The categories of this paper are: funct-an
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The categories of this paper are: nucl-ex
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The categories of this paper are: chem-ph