Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-Source domain adaptation via supervised contrastive learning and
  confident consistency regularization   Multi-Source Unsupervised Domain Adaptation (multi-source UDA) aims to learn
a model from several labeled source domains while performing well on a
different target domain where only unlabeled data are available at training
time. To align source and target features distributions, several recent works
use source and target explicit statistics matching such as features moments or
class centroids. Yet, these approaches do not guarantee class conditional
distributions alignment across domains. In this work, we propose a new
framework called Contrastive Multi-Source Domain Adaptation (CMSDA) for
multi-source UDA that addresses this limitation. Discriminative features are
learned from interpolated source examples via cross entropy minimization and
from target examples via consistency regularization and hard pseudo-labeling.
Simultaneously, interpolated source examples are leveraged to align source
class conditional distributions through an interpolated version of the
supervised contrastive loss. This alignment leads to more general and
transferable features which further improves the generalization on the target
domain. Extensive experiments have been carried out on three standard
multi-source UDA datasets where our method reports state-of-the-art results.

10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
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The categories of this paper are: astro-ph
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The categories of this paper are: gr-qc
2
The categories of this paper are: math
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The categories of this paper are: nlin