Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Contrastive Explanations for Explaining Model Adaptations   Many decision making systems deployed in the real world are not static - a
phenomenon known as model adaptation takes place over time. The need for
transparency and interpretability of AI-based decision models is widely
accepted and thus have been worked on extensively. Usually, explanation methods
assume a static system that has to be explained. Explaining non-static systems
is still an open research question, which poses the challenge how to explain
model adaptations. In this contribution, we propose and (empirically) evaluate
a framework for explaining model adaptations by contrastive explanations. We
also propose a method for automatically finding regions in data space that are
affected by a given model adaptation and thus should be explained.

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The categories of this paper are: cmp-lg
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
0
The categories of this paper are: hep-ph
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org