Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Transparency by Design: Closing the Gap Between Performance and
  Interpretability in Visual Reasoning   Visual question answering requires high-order reasoning about an image, which
is a fundamental capability needed by machine systems to follow complex
directives. Recently, modular networks have been shown to be an effective
framework for performing visual reasoning tasks. While modular networks were
initially designed with a degree of model transparency, their performance on
complex visual reasoning benchmarks was lacking. Current state-of-the-art
approaches do not provide an effective mechanism for understanding the
reasoning process. In this paper, we close the performance gap between
interpretable models and state-of-the-art visual reasoning methods. We propose
a set of visual-reasoning primitives which, when composed, manifest as a model
capable of performing complex reasoning tasks in an explicitly-interpretable
manner. The fidelity and interpretability of the primitives' outputs enable an
unparalleled ability to diagnose the strengths and weaknesses of the resulting
model. Critically, we show that these primitives are highly performant,
achieving state-of-the-art accuracy of 99.1% on the CLEVR dataset. We also show
that our model is able to effectively learn generalized representations when
provided a small amount of data containing novel object attributes. Using the
CoGenT generalization task, we show more than a 20 percentage point improvement
over the current state of the art.

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The categories of this paper are: q-bio
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The categories of this paper are: nucl-ex
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The categories of this paper are: patt-sol
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The categories of this paper are: alg-geom
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The categories of this paper are: q-alg
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The categories of this paper are: math-ph
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The categories of this paper are: solv-int
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The categories of this paper are: physics
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The categories of this paper are: chem-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: chao-dyn
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The categories of this paper are: bayes-an
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The categories of this paper are: adap-org
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The categories of this paper are: eess
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The categories of this paper are: q-fin
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The categories of this paper are: atom-ph