Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Explaining and Generalizing Back-Translation through Wake-Sleep   Back-translation has become a commonly employed heuristic for semi-supervised
neural machine translation. The technique is both straightforward to apply and
has led to state-of-the-art results. In this work, we offer a principled
interpretation of back-translation as approximate inference in a generative
model of bitext and show how the standard implementation of back-translation
corresponds to a single iteration of the wake-sleep algorithm in our proposed
model. Moreover, this interpretation suggests a natural iterative
generalization, which we demonstrate leads to further improvement of up to 1.6
BLEU.

3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
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The categories of this paper are: q-fin
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The categories of this paper are: solv-int
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The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an