Fetching the paper…
Reading the bibliography…
Standard methods in deep learning for natural language processing fail to capture the compositional structure of human language that allows for systematic generalization outside of the training distribution.
Syntactic Structures
N. Chomsky, editor · 1957
Earlier work this paper cites.
Dissociation of algorithmic and heuristic processes in language comprehension: Evidence from aphasia
A. Caramazza and E. B. Zurif · 1976
Earlier work this paper cites.
Connectionism and cognitive architecture: A critical analysis
J. A. Fodor and Z. W. Pylyshyn · 1988
Earlier work this paper cites.
An integrative theory of prefrontal cortex function
E. K. Miller and J. D. Cohen · 2001
Earlier work this paper cites.
Dissecting the language organ : A new look at the role of Broca ’ s area in language processing
S. L. Thompson-Schill · 2004
Earlier work this paper cites.
Making working memory work: A computational model of learning in the prefrontal cortex and basal ganglia
R. C. O’Reilly and M. J. Frank · 2006
Earlier work this paper cites.
Indirection and symbol-like processing in the prefrontal cortex and basal ganglia
T. Kriete, D. C. Noelle, J. D. Cohen, and R. C. O’Reilly · 2013
Earlier work this paper cites.
The “working” of working memory
E. K. Miller · 2013
Earlier work this paper cites.
Neural Machine Translation by Jointly Learning to Align and Translate
D. Bahdanau, K. Cho, and Y. Bengio · 2014
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
D. P. Kingma and J. Ba · 2014
Cited alongside, same era.
Sequence to Sequence Learning with Neural Networks
I. Sutskever, O. Vinyals, and Q. V. Le · 2014
Cited alongside, same era.
J. Andreas, M. Rohrbach, T. Darrell, and D. Klein · 2015
Cited alongside, same era.
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
J. Johnson, B. Hariharan, L. van der Maaten, L. Fei-Fei, C. L. Zitnick, and R. Girshick · 2016
Cited alongside, same era.
Toward an Integration of Deep Learning and Neuroscience
A. H. Marblestone, G. Wayne, and K. P. Kording · 2016
A simple neural network module for relational reasoning
A. Santoro, D. Raposo, D. G. T. Barrett, M. Malinowski, R. Pascanu, P. Battaglia, and T. Lillicrap · 2017
Later among the works it cites.
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
K. Yi, J. Wu, C. Gan, A. Torralba, P. Kohli, and J. B. Tenenbaum · 2017
Later among the works it cites.
Systematic Generalization: What Is Required and Can It Be Learned?
D. Bahdanau, S. Murty, M. Noukhovitch, T. H. Nguyen, H. de Vries, and A. Courville · 2018
Later among the works it cites.
Jump to better conclusions: SCAN both left and right
J. Bastings, M. Baroni, J. Weston, K. Cho, and D. Kiela · 2018
Later among the works it cites.
Relational inductive biases, deep learning, and graph networks
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Learning to Reason: End-to-End Module Networks for Visual Question Answering
R. Hu, J. Andreas, M. Rohrbach, T. Darrell, and K. Saenko · 2017
Cited alongside, same era.
B. M. Lake and M. Baroni · 2017
Cited alongside, same era.
Building machines that learn and think like people
B. M. Lake, T. D. Ullman, J. B. Tenenbaum, and S. J. Gershman · 2017
Cited alongside, same era.
FiLM: Visual Reasoning with a General Conditioning Layer
E. Perez, F. Strub, H. de Vries, V. Dumoulin, and A. Courville · 2017
Cited alongside, same era.
P. W. Battaglia, J. B. Hamrick, V. Bapst, A. Sanchez-Gonzalez, V. Zambaldi, M. Malinowski, A. Tacchetti, D. Raposo, A. Santoro, R. Faulkner, C. Gulcehre, F. Song, A. Ballard, J. Gilmer, G. Dahl, A. Vaswani, K. Allen, C. Nash, V. Langston, C. Dyer, N. Heess, D. Wierstra, P. Kohli, M. Botvinick, O. Vinyals, Y. Li, and R. Pascanu · 2018
Later among the works it cites.
Compositional attention networks for machine reasoning
D. A. Hudson and C. D. Manning · 2018
Later among the works it cites.
Rearranging the familiar: Testing compositional generalization in recurrent networks
J. Loula, M. Baroni, and B. M. Lake · 2018
Later among the works it cites.
Deep learning: A critical appraisal
G. Marcus · 2018
Later among the works it cites.
R. Dessì and M. Baroni · 2019
Closest in time.