Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Leveraging Latent Features for Local Explanations   As the application of deep neural networks proliferates in numerous areas
such as medical imaging, video surveillance, and self driving cars, the need
for explaining the decisions of these models has become a hot research topic,
both at the global and local level. Locally, most explanation methods have
focused on identifying relevance of features, limiting the types of
explanations possible. In this paper, we investigate a new direction by
leveraging latent features to generate contrastive explanations; predictions
are explained not only by highlighting aspects that are in themselves
sufficient to justify the classification, but also by new aspects which if
added will change the classification. The key contribution of this paper lies
in how we add features to rich data in a formal yet humanly interpretable way
that leads to meaningful results. Our new definition of "addition" uses latent
features to move beyond the limitations of previous explanations and resolve an
open question laid out in Dhurandhar, et. al. (2018), which creates local
contrastive explanations but is limited to simple datasets such as grayscale
images. The strength of our approach in creating intuitive explanations that
are also quantitatively superior to other methods is demonstrated on three
diverse image datasets (skin lesions, faces, and fashion apparel). A user study
with 200 participants further exemplifies the benefits of contrastive
information, which can be viewed as complementary to other state-of-the-art
interpretability methods.

7
The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg