Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Rephrasing visual questions by specifying the entropy of the answer
  distribution   Visual question answering (VQA) is a task of answering a visual question that
is a pair of question and image. Some visual questions are ambiguous and some
are clear, and it may be appropriate to change the ambiguity of questions from
situation to situation. However, this issue has not been addressed by any prior
work. We propose a novel task, rephrasing the questions by controlling the
ambiguity of the questions. The ambiguity of a visual question is defined by
the use of the entropy of the answer distribution predicted by a VQA model. The
proposed model rephrases a source question given with an image so that the
rephrased question has the ambiguity (or entropy) specified by users. We
propose two learning strategies to train the proposed model with the VQA v2
dataset, which has no ambiguity information. We demonstrate the advantage of
our approach that can control the ambiguity of the rephrased questions, and an
interesting observation that it is harder to increase than to reduce ambiguity.

32
The categories of this paper are: atom-ph
2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga