Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mutual Learning Network for Multi-Source Domain Adaptation   Early Unsupervised Domain Adaptation (UDA) methods have mostly assumed the
setting of a single source domain, where all the labeled source data come from
the same distribution. However, in practice the labeled data can come from
multiple source domains with different distributions. In such scenarios, the
single source domain adaptation methods can fail due to the existence of domain
shifts across different source domains and multi-source domain adaptation
methods need to be designed. In this paper, we propose a novel multi-source
domain adaptation method, Mutual Learning Network for Multiple Source Domain
Adaptation (ML-MSDA). Under the framework of mutual learning, the proposed
method pairs the target domain with each single source domain to train a
conditional adversarial domain adaptation network as a branch network, while
taking the pair of the combined multi-source domain and target domain to train
a conditional adversarial adaptive network as the guidance network. The
multiple branch networks are aligned with the guidance network to achieve
mutual learning by enforcing JS-divergence regularization over their prediction
probability distributions on the corresponding target data. We conduct
extensive experiments on multiple multi-source domain adaptation benchmark
datasets. The results show the proposed ML-MSDA method outperforms the
comparison methods and achieves the state-of-the-art performance.

17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys