Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian representation learning with oracle constraints   Representation learning systems typically rely on massive amounts of labeled
data in order to be trained to high accuracy. Recently, high-dimensional
parametric models like neural networks have succeeded in building rich
representations using either compressive, reconstructive or supervised
criteria. However, the semantic structure inherent in observations is
oftentimes lost in the process. Human perception excels at understanding
semantics but cannot always be expressed in terms of labels. Thus,
\emph{oracles} or \emph{human-in-the-loop systems}, for example crowdsourcing,
are often employed to generate similarity constraints using an implicit
similarity function encoded in human perception. In this work we propose to
combine \emph{generative unsupervised feature learning} with a
\emph{probabilistic treatment of oracle information like triplets} in order to
transfer implicit privileged oracle knowledge into explicit nonlinear Bayesian
latent factor models of the observations. We use a fast variational algorithm
to learn the joint model and demonstrate applicability to a well-known image
dataset. We show how implicit triplet information can provide rich information
to learn representations that outperform previous metric learning approaches as
well as generative models without this side-information in a variety of
predictive tasks. In addition, we illustrate that the proposed approach
compartmentalizes the latent spaces semantically which allows interpretation of
the latent variables.

14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex