Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Domain Generalization via Conditional Invariant Representation   Domain generalization aims to apply knowledge gained from multiple labeled
source domains to unseen target domains. The main difficulty comes from the
dataset bias: training data and test data have different distributions, and the
training set contains heterogeneous samples from different distributions. Let
$X$ denote the features, and $Y$ be the class labels. Existing domain
generalization methods address the dataset bias problem by learning a
domain-invariant representation $h(X)$ that has the same marginal distribution
$\mathbb{P}(h(X))$ across multiple source domains. The functional relationship
encoded in $\mathbb{P}(Y|X)$ is usually assumed to be stable across domains
such that $\mathbb{P}(Y|h(X))$ is also invariant. However, it is unclear
whether this assumption holds in practical problems. In this paper, we consider
the general situation where both $\mathbb{P}(X)$ and $\mathbb{P}(Y|X)$ can
change across all domains. We propose to learn a feature representation which
has domain-invariant class conditional distributions $\mathbb{P}(h(X)|Y)$. With
the conditional invariant representation, the invariance of the joint
distribution $\mathbb{P}(h(X),Y)$ can be guaranteed if the class prior
$\mathbb{P}(Y)$ does not change across training and test domains. Extensive
experiments on both synthetic and real data demonstrate the effectiveness of
the proposed method.

33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph