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The CLEVR dataset of natural-looking questions about 3D-rendered scenes has recently received much attention from the research community.
Compositional generalization in a deep seq2seq model by separating syntax and semantics
Russin, J., Jo, J., and O’Reilly, R. C · 1904
Earlier work this paper cites.
The compositionality of neural networks: integrating symbolism and connectionism
Hupkes, D., Dankers, V., Mul, M., and Bruni, E · 1908
Earlier work this paper cites.
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Keysers, D., Schärli, N., Scales, N., Buisman, H., Furrer, D., Kashubin, S., Momchev, N., Sinopalnikov, D., Stafiniak, L., Tihon, T., Tsarkov, D., Wang, X., van Zee, M., and Bousquet, O · 1912
Earlier work this paper cites.
Connectionism and cognitive architecture: A critical analysis
Fodor, J. A. and Pylyshyn, Z. W · 1988
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Sequence to Sequence Learning with Neural Networks
Sutskever, I., Vinyals, O., and Le, Q. V · 2014
Earlier work this paper cites.
Vqa: Visual Question Answering
Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Lawrence Zitnick, C., and Parikh, D · 2015
Earlier work this paper cites.
Neural Machine Translation by Jointly Learning to Align and Translate
Bahdanau, D., Cho, K., and Bengio, Y · 2015
Earlier work this paper cites.
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Ioffe, S. and Szegedy, C · 2015
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Adam: A Method for Stochastic Optimization
Kingma, D. P. and Ba, J · 2015
Earlier work this paper cites.
Analyzing the Behavior of Visual Question Answering Models
Agrawal, A., Batra, D., and Parikh, D · 2016
Cited alongside, same era.
Andreas, J., Rohrbach, M., Darrell, T., and Klein, D · 2016
Cited alongside, same era.
Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
Cited alongside, same era.
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Johnson, J., Hariharan, B., van der Maaten, L., Fei-Fei, L., Zitnick, C. L., and Girshick, R · 2016
Cited alongside, same era.
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset
Agrawal, A., Kembhavi, A., Batra, D., and Parikh, D · 2017
Cited alongside, same era.
A simple neural network module for relational reasoning
Santoro, A., Raposo, D., Barrett, D. G. T., Malinowski, M., Pascanu, R., Battaglia, P., and Lillicrap, T · 2017
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Jump to better conclusions: SCAN both left and right
Bastings, J., Baroni, M., Weston, J., Cho, K., and Kiela, D · 2018
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Explainable Neural Computation via Stack Neural Module Networks
Hu, R., Andreas, J., Darrell, T., and Saenko, K · 2018
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Compositional Attention Networks for Machine Reasoning
Hudson, D. A. and Manning, C. D · 2018
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Lake, B. M. and Baroni, M · 2018
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Hu, R., Andreas, J., Rohrbach, M., Darrell, T., and Saenko, K · 2017
Cited alongside, same era.
Inferring and Executing Programs for Visual Reasoning
Johnson, J., Hariharan, B., van der Maaten, L., Hoffman, J., Fei-Fei, L., Zitnick, C. L., and Girshick, R · 2017
Cited alongside, same era.
ShapeWorld - A new test methodology for multimodal language understanding
Kuhnle, A. and Copestake, A · 2017
Cited alongside, same era.
FiLM: Visual Reasoning with a General Conditioning Layer
Perez, E., Strub, F., de Vries, H., Dumoulin, V., and Courville, A · 2017
Cited alongside, same era.
Learning Visual Reasoning Without Strong Priors
Perez, E., de Vries, H., Strub, F., Dumoulin, V., and Courville, A
Cited in the paper.
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks
Loula, J., Baroni, M., and Lake, B. M · 2018
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Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning
Mascharka, D., Tran, P., Soklaski, R., and Majumdar, A · 2018
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Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Yi, K., Wu, J., Gan, C., Torralba, A., Kohli, P., and Tenenbaum, J. B · 2018
Later among the works it cites.
Systematic Generalization: What Is Required and Can It Be Learned?
Bahdanau, D., Murty, S., Noukhovitch, M., Nguyen, T. H., Vries, H. d., and Courville, A · 2019
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