Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Oracle Guided Image Synthesis with Relative Queries   Isolating and controlling specific features in the outputs of generative
models in a user-friendly way is a difficult and open-ended problem. We develop
techniques that allow an oracle user to generate an image they are envisioning
in their head by answering a sequence of relative queries of the form
\textit{"do you prefer image $a$ or image $b$?"} Our framework consists of a
Conditional VAE that uses the collected relative queries to partition the
latent space into preference-relevant features and non-preference-relevant
features. We then use the user's responses to relative queries to determine the
preference-relevant features that correspond to their envisioned output image.
Additionally, we develop techniques for modeling the uncertainty in images'
predicted preference-relevant features, allowing our framework to generalize to
scenarios in which the relative query training set contains noise.

30
The categories of this paper are: q-alg
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
2
The categories of this paper are: math
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio