Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: BHN: A Brain-like Heterogeneous Network   The human brain works in an unsupervised way, and more than one brain region
is essential for lighting up intelligence. Inspired by this, we propose a
brain-like heterogeneous network (BHN), which can cooperatively learn a lot of
distributed representations and one global attention representation. By
optimizing distributed, self-supervised, and gradient-isolated objective
functions in a minimax fashion, our model improves its representations, which
are generated from patches of pictures or frames of videos in experiments.

33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
23
The categories of this paper are: solv-int