Generating Correct Answers for Progressive Matrices Intelligence Tests

Understand

Raven's Progressive Matrices are multiple-choice intelligence tests, where one tries to complete the missing location in a $3\times 3$ grid of abstract images.

• Previous attempts to address this test have focused solely on selecting the right answer out of the multiple choices.
• In this work, we focus, instead, on generating a correct answer given the grid, without seeing the choices, which is a harder task, by definition.
• The proposed neural model combines multiple advances in generative models, including employing multiple pathways through the same network, using the reparameterization trick along two pathways to make their encoding compatible, a dynamic application of variational losses, and a complex perceptual loss that is coupled with a selective backpropagation procedure.