Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Solving Visual Analogies Using Neural Algorithmic Reasoning   We consider a class of visual analogical reasoning problems that involve
discovering the sequence of transformations by which pairs of input/output
images are related, so as to analogously transform future inputs. This program
synthesis task can be easily solved via symbolic search. Using a variation of
the `neural analogical reasoning' approach of (Velickovic and Blundell 2021),
we instead search for a sequence of elementary neural network transformations
that manipulate distributed representations derived from a symbolic space, to
which input images are directly encoded. We evaluate the extent to which our
`neural reasoning' approach generalizes for images with unseen shapes and
positions.

34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio