Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Concept Embedding Analysis: A Review   Deep neural networks (DNNs) have found their way into many applications with
potential impact on the safety, security, and fairness of
human-machine-systems. Such require basic understanding and sufficient trust by
the users. This motivated the research field of explainable artificial
intelligence (XAI), i.e. finding methods for opening the "black-boxes" DNNs
represent. For the computer vision domain in specific, practical assessment of
DNNs requires a globally valid association of human interpretable concepts with
internals of the model. The research field of concept (embedding) analysis (CA)
tackles this problem: CA aims to find global, assessable associations of
humanly interpretable semantic concepts (e.g., eye, bearded) with internal
representations of a DNN. This work establishes a general definition of CA and
a taxonomy for CA methods, uniting several ideas from literature. That allows
to easily position and compare CA approaches. Guided by the defined notions,
the current state-of-the-art research regarding CA methods and interesting
applications are reviewed. More than thirty relevant methods are discussed,
compared, and categorized. Finally, for practitioners, a survey of fifteen
datasets is provided that have been used for supervised concept analysis. Open
challenges and research directions are pointed out at the end.

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The categories of this paper are: alg-geom
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: eess
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The categories of this paper are: supr-con
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The categories of this paper are: hep-lat
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The categories of this paper are: bayes-an
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The categories of this paper are: chao-dyn
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The categories of this paper are: acc-phys
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The categories of this paper are: patt-sol
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The categories of this paper are: quant-ph