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Creativity: Generating Diverse Questions using Variational Autoencoders

Abstract · Apr 11, 2017 18:46 ·

entertainment generation creativity question creative traits autoencoders questions assistants cs-cv

Arxiv Abstract

  • Unnat Jain
  • Ziyu Zhang
  • Alexander Schwing

Generating diverse questions for given images is an important task for computational education, entertainment and AI assistants. Different from many conventional prediction techniques is the need for algorithms to generate a diverse set of plausible questions, which we refer to as “creativity”. In this paper we propose a creative algorithm for visual question generation which combines the advantages of variational autoencoders with long short-term memory networks. We demonstrate that our framework is able to generate a large set of varying questions given a single input image.

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