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Abstract reasoning refers to the ability to analyze information, discover rules at an intangible level, and solve problems in innovative ways.
Raven’s progressive matrices
Raven, J. C. 1938 · 1938
Earlier work this paper cites.
Dropout: a simple way to prevent neural networks from overfitting
Srivastava, N.; Hinton, G.; Krizhevsky, A.; Sutskever, I.; and Salakhutdinov, R. 2014 · 1958
Earlier work this paper cites.
What One Intelligence Test Measures: A Theoretical Account of the Processing in the Raven Progressive Matrices Test
Carpenter, P. A.; Just, M. A.; and Shell, P. 1990 · 1990
Earlier work this paper cites.
Long short-term memory
Hochreiter, S.; and Schmidhuber, J. 1997 · 1997
Earlier work this paper cites.
The Raven’s progressive matrices: change and stability over culture and time
Raven, J. 2000 · 2000
Earlier work this paper cites.
The living systems theory of James Grier Miller
Parent, E. 1996 · 2007
Earlier work this paper cites.
A structure-mapping model of Raven’s Progressive Matrices
Lovett, A.; Forbus, K.; and Usher, J. 2010 · 2010
Earlier work this paper cites.
Solving Geometric Analogy Problems Through Two-Stage Analogical Mapping
Lovett, A.; Tomai, E.; Forbus, K.; and Usher, J. 2010 · 2010
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Krizhevsky, A.; Sutskever, I.; and Hinton, G. E. 2012 · 2012
Earlier work this paper cites.
A computational model for solving problems from the Raven’s Progressive Matrices intelligence test using iconic visual representations
Kunda, M.; McGreggor, K.; and Goel, A. K. 2013 · 2013
Cited alongside, same era.
An anthropomorphic method for progressive matrix problems
Strannegård, C.; Cirillo, S.; and Ström, V. 2013 · 2013
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Simonyan, K.; and Zisserman, A. 2015 · 2015
Cited alongside, same era.
Going deeper with convolutions
Szegedy, C.; Liu, W.; Jia, Y.; Sermanet, P.; Reed, S.; Anguelov, D.; Erhan, D.; Vanhoucke, V.; and Rabinovich, A. 2015 · 2015
Cited alongside, same era.
Deep residual learning for image recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
Johnson, J.; Hariharan, B.; van der Maaten, L.; Fei-Fei, L.; Lawrence Zitnick, C.; and Girshick, R. 2017 · 2017
Later among the works it cites.
Modeling visual problem solving as analogical reasoning
Lovett, A.; and Forbus, K. 2017 · 2017
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Measuring abstract reasoning in neural networks
Barrett, D.; Hill, F.; Santoro, A.; Morcos, A.; and Lillicrap, T. 2018 · 2018
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Improving generalization for abstract reasoning tasks using disentangled feature representations
Steenbrugge, X.; Leroux, S.; Verbelen, T.; and Dhoedt, B. 2018 · 2018
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Learning to Make Analogies by Contrasting Abstract Relational Structure
Hill, F.; Santoro, A.; Barrett, D.; Morcos, A.; and Lillicrap, T. 2019 · 2019
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Cited alongside, same era.
Improved deep metric learning with multi-class n-pair loss objective
Sohn, K. 2016 · 2016
Cited alongside, same era.
Hoshen, D.; and Werman, M. 2017 · 2017
Cited alongside, same era.
RAVEN: A dataset for relational and analogical visual reasoning
Zhang, C.; Gao, F.; Jia, B.; Zhu, Y.; and Zhu, S.-C. 2019a
Cited in the paper.
Learning perceptual inference by contrasting
Zhang, C.; Jia, B.; Gao, F.; Zhu, Y.; Lu, H.; and Zhu, S.-C. 2019b
Cited in the paper.
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
van Steenkiste, S.; Locatello, F.; Schmidhuber, J.; and Bachem, O. 2019 · 2019
Later among the works it cites.
Abstract Reasoning with Distracting Features
Zheng, K.; Zha, Z.-J.; and Wei, W. 2019 · 2019
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Abstract diagrammatic reasoning with multiplex graph networks
Wang, D.; Jamnik, M.; and Lio, P. 2020 · 2020
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