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Compositional generalization is a fundamental trait in humans, allowing us to effortlessly combine known phrases to form novel sentences.
How Children Learn the Meanings of Words
Paul Bloom. 2000 · 2000
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Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
Brenden Lake and Marco Baroni. 2018 · 2018
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Compositional generalization through meta sequence-to-sequence learning
Brenden M Lake. 2019 · 2019
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Human few-shot learning of compositional instructions
Brenden M. Lake, Tal Linzen, and Marco Baroni. 2019 · 2019
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Compositional generalization for primitive substitutions
Yuanpeng Li, Liang Zhao, Jianyu Wang, and Joel Hestness. 2019 · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
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Compositional generalization in a deep seq2seq model by separating syntax and semantics
Jake Russin, Jason Jo, Randall C. O’Reilly, and Yoshua Bengio. 2019 · 2019
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Good-enough compositional data augmentation
Jacob Andreas. 2020 · 2020
Cited alongside, same era.
Linguistic generalization and compositionality in modern artificial neural networks
Marco Baroni. 2020 · 2020
Cited alongside, same era.
Compositional generalization via neural-symbolic stack machines
Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, and Denny Zhou. 2020 · 2020
Cited alongside, same era.
Compositional generalization in semantic parsing: Pre-training vs. specialized architectures
Daniel Furrer, Marc van Zee, Nathan Scales, and Nathanael Schärli. 2020 · 2020
Cited alongside, same era.
Permutation equivariant models for compositional generalization in language
Jonathan Gordon, David Lopez-Paz, Marco Baroni, and Diane Bouchacourt. 2020 · 2020
Cited alongside, same era.
Sequence-level mixed sample data augmentation
Learning to recombine and resample data for compositional generalization
Ekin Akyürek, Afra Feyza Akyürek, and Jacob Andreas. 2021 · 2021
Later among the works it cites.
Lexicon learning for few shot sequence modeling
Ekin Akyurek and Jacob Andreas. 2021 · 2021
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Meta-learning to compositionally generalize
Henry Conklin, Bailin Wang, Kenny Smith, and Ivan Titov. 2021 · 2021
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The devil is in the detail: Simple tricks improve systematic generalization of transformers
Róbert Csordás, Kazuki Irie, and Juergen Schmidhuber. 2021 · 2021
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Making transformers solve compositional tasks
Santiago Ontañón, Joshua Ainslie, Vaclav Cvicek, and Zachary Fisher. 2021 · 2021
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From scan to real data: Systematic generalization via meaningful learning
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Demi Guo, Yoon Kim, and Alexander Rush. 2020 · 2020
Cited alongside, same era.
COGS: A compositional generalization challenge based on semantic interpretation
Najoung Kim and Tal Linzen. 2020 · 2020
Cited alongside, same era.
Ning Shi, Boxin Wang, Wei Wang, Xiangyu Liu, Rong Zhang, Hui Xue, Xinbing Wang, and Zhouhan Lin. 2021 · 2021
Later among the works it cites.