Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Two-Headed Monster And Crossed Co-Attention Networks   This paper presents some preliminary investigations of a new co-attention
mechanism in neural transduction models. We propose a paradigm, termed
Two-Headed Monster (THM), which consists of two symmetric encoder modules and
one decoder module connected with co-attention. As a specific and concrete
implementation of THM, Crossed Co-Attention Networks (CCNs) are designed based
on the Transformer model. We demonstrate CCNs on WMT 2014 EN-DE and WMT 2016
EN-FI translation tasks and our model outperforms the strong Transformer
baseline by 0.51 (big) and 0.74 (base) BLEU points on EN-DE and by 0.17 (big)
and 0.47 (base) BLEU points on EN-FI.

6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
16
The categories of this paper are: stat
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ