Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hide-and-Seek: A Template for Explainable AI   Lack of transparency has been the Achilles heal of Neural Networks and their
wider adoption in industry. Despite significant interest this shortcoming has
not been adequately addressed. This study proposes a novel framework called
Hide-and-Seek (HnS) for training Interpretable Neural Networks and establishes
a theoretical foundation for exploring and comparing similar ideas. Extensive
experimentation indicates that a high degree of interpretability can be imputed
into Neural Networks, without sacrificing their predictive power.

9
The categories of this paper are: nlin
6
The categories of this paper are: astro-ph
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics