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Compositional generalization is one of the main properties which differentiates lexical learning in humans from state-of-art neural networks.
Swain School Lectures
Ingraham, A · 1903
Earlier work this paper cites.
Syntactic Structures
Chomsky, N · 1957
Earlier work this paper cites.
Introduction to semantics and formalization of logic
Carnap, R · 1959
Earlier work this paper cites.
The algebraic theory of context-free languages*
Chomsky, N. and Schützenberger, M. P · 1963
Earlier work this paper cites.
Universal grammar
Montague, R · 1970
Earlier work this paper cites.
Introduction to Automata Theory, Languages and Computation
Hopcroft, J. E. and Ullman, J. D · 1979
Earlier work this paper cites.
Inductive inference: Theory and methods
Angluin, D. and Smith, C. H · 1983
Earlier work this paper cites.
On the complexity of inductive inference
Daley, R. P. and Smith, C. H · 1986
Earlier work this paper cites.
Recursive distributed representations
Pollack, J. B · 1990
Earlier work this paper cites.
Connectionism and cognitive architecture
Fodor, J. A. and Pylyshyn, Z. W · 1993
Earlier work this paper cites.
Lexical semantics and compositionality
Partee, B. H · 1995
Earlier work this paper cites.
The Algebraic Mind: Integrating Connectionism and Cognitive Science
Marcus, G. F · 2001
Earlier work this paper cites.
On the systematicity of language and thought
Johnson, K · 2004
Earlier work this paper cites.
The discovery of structural form
Kemp, C. and Tenenbaum, J. B · 2008
Earlier work this paper cites.
Neural programmer-interpreters
Reed, S. and De Freitas, N · 2015
Earlier work this paper cites.
Reinforcement learning neural turing machines-revised
Zaremba, W. and Sutskever, I · 2015
Earlier work this paper cites.
What Kind of Creatures Are We?
Chomsky, N · 2016
Earlier work this paper cites.
Group equivariant convolutional networks
Cohen, T. and Welling, M · 2016
Earlier work this paper cites.
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. B · 2016
Earlier work this paper cites.
Systematic generalization: What is required and can it be learned?
Bahdanau, D., Murty, S., Noukhovitch, M., Nguyen, T. H., de Vries, H., and Courville, A. C · 2018
Earlier work this paper cites.
Jump to better conclusions: SCAN both left and right
Bastings, J., Baroni, M., Weston, J., Cho, K., and Kiela, D · 2018
Cited alongside, same era.
Towards a definition of disentangled representations
Higgins, I., Amos, D., Pfau, D., Racaniere, S., Matthey, L., Rezende, D., and Lerchner, A · 2018
Cited alongside, same era.
On the generalization of equivariance and convolution in neural networks to the action of compact groups
Kondor, R. and Trivedi, S · 2018
Cited alongside, same era.
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
Lake, B. M. and Baroni, M · 2018
Cited alongside, same era.
Rearranging the familiar: Testing compositional generalization in recurrent networks
Loula, J., Baroni, M., and Lake, B · 2018
Cited alongside, same era.
The devil is in the detail: Simple tricks improve systematic generalization of transformers
Csordás, R., Irie, K., and Schmidhuber, J · 2021
Later among the works it cites.
Improving compositional generalization with latent structure and data augmentation
Qiu, L., Shaw, P., Pasupat, P., Nowak, P. K., Linzen, T., Sha, F., and Toutanova, K · 2021
Later among the works it cites.
Examining the inductive bias of neural language models with artificial languages
White, J. C. and Cotterell, R · 2021
Later among the works it cites.
Learning task automata for reinforcement learning using hidden markov models
Abate, A., Almulla, Y., Fox, J., Hyland, D., and Wooldridge, M · 2022
Later among the works it cites.
Language models as agent models
Andreas, J · 2022
Later among the works it cites.
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CLOSURE: assessing systematic generalization of CLEVR models
de Vries, H., Bahdanau, D., Murty, S., Courville, A. C., and Beaudoin, P · 2019
Cited alongside, same era.
Permutation equivariant models for compositional generalization in language
Gordon, J., Lopez-Paz, D., Baroni, M., and Bouchacourt, D · 2019
Cited alongside, same era.
Compositionality decomposed: How do neural networks generalise?
Hupkes, D., Dankers, V., Mul, M., and Bruni, E · 2019
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Human few-shot learning of compositional instructions
Lake, B. M., Linzen, T., and Baroni, M · 2019
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From words-as-mappings to words-as-cues: The role of language in semantic knowledge
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Learning to recombine and resample data for compositional generalization
Akyürek, E., Akyurek, A. F., and Andreas, J · 2020
Cited alongside, same era.
B-spline cnns on lie groups
Bekkers, E. J · 2020
Cited alongside, same era.
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Later among the works it cites.
Neural-symbolic recursive machine for systematic generalization
Li, Q., Zhu, Y., Liang, Y., Wu, Y. N., Zhu, S., and Huang, S · 2022
Later among the works it cites.
Benchmarking compositionality with formal languages
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Later among the works it cites.
Equivariant transduction through invariant alignment
White, J. C. and Cotterell, R · 2022
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Lexsym: Compositionality as lexical symmetry
Akyürek, E. and Andreas, J · 2023
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Compositionality in computational linguistics
Donatelli, L. and Koller, A · 2023
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Faith and fate: Limits of transformers on compositionality
Dziri, N., Lu, X., Sclar, M., Li, X. L., Jian, L., Lin, B. Y., West, P., Bhagavatula, C., Bras, R. L., Hwang, J. D., Sanyal, S., Welleck, S., Ren, X., Ettinger, A., Harchaoui, Z., and Choi, Y · 2023
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Approximately equivariant graph networks
Huang, N., Levie, R., and Villar, S · 2023
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Human-like systematic generalization through a meta-learning neural network
Lake, B. M. and Baroni, M · 2023
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A sentence is worth a thousand pictures: Can large language models understand human language?
Marcus, G., Leivada, E., and Murphy, E · 2023
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Resurrecting recurrent neural networks for long sequences
Orvieto, A., Smith, S. L., Gu, A., Fernando, A., Gulcehre, C., Pascanu, R., and De, S · 2023
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Approximation-generalization trade-offs under (approximate) group equivariance
Petrache, M. and Trivedi, S · 2023
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Transformers as recognizers of formal languages: A survey on expressivity
Strobl, L., Merrill, W., Weiss, G., Chiang, D., and Angluin, D · 2023
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The generative ai paradox: "what it can create, it may not understand"
West, P., Lu, X., Dziri, N., Brahman, F., Li, L., Hwang, J. D., Jiang, L., Fisher, J. R., Ravichander, A., Chandu, K. R., Newman, B., Koh, P. W., Ettinger, A., and Choi, Y · 2023
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