--- title: "Who cites Neural Random-Access Machines — 36 citing papers" description: "36 papers of the Elamur Research library cite «Neural Random-Access Machines», found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/papers/kurach-2015-neural-random-access-machines/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/kurach-2015-neural-random-access-machines/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Neural Random-Access Machines](https://md.research.elamur.ai/free/en/papers/kurach-2015-neural-random-access-machines/) / cited by # Who cites «Neural Random-Access Machines» 36 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← back to «Neural Random-Access Machines»](https://md.research.elamur.ai/free/en/papers/kurach-2015-neural-random-access-machines/) 1. [**Relational inductive biases, deep learning, and graph networks arXiv:1806.01261**Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.*2018 · 2,335 citations*](https://md.research.elamur.ai/free/en/papers/battaglia-2018-relational-inductive-biases-deep-learning/) 2. **[Incorporating Copying Mechanism in Sequence-to-Sequence Learning](https://md.research.elamur.ai/free/en/papers/gu-2016-incorporating-copying-mechanism-sequence-sequence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiatao Gu, Zhengdong Lu, Hang Li, et al.*2016 · 1,915 citations* 3. [**Program Synthesis with Large Language Models arXiv:2108.07732**Jacob Austin, Augustus Odena, Maxwell Nye, et al.*2021 · 1,192 citations*](https://md.research.elamur.ai/free/en/papers/austin-2021-program-synthesis-large-language-models/) 4. **[Inferring and Executing Programs for Visual Reasoning](https://md.research.elamur.ai/free/en/papers/johnson-2017-inferring-executing-programs-visual-reasoning/) [IEEE International Conference on Computer Vision (ICCV)](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-computer-vision-iccv/)**Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.*2017 · 557 citations* 5. [**Show your work: Scratchpads for intermediate computation with language models***2021 · 473 citations*](https://md.research.elamur.ai/free/en/papers/al-2021-show-your-work-scratchpads-intermediate/) 6. **[CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/le-2022-coderl-mastering-code-generation-through/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.*2022 · 297 citations* 7. [**Neuro-Symbolic Program Synthesis arXiv:1611.01855**Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, et al.*2016 · 152 citations*](https://md.research.elamur.ai/free/en/papers/parisotto-2016-neuro-symbolic-program-synthesis/) 8. [**Programming with a Differentiable Forth Interpreter arXiv:1605.06640**Matko Bošnjak, Tim Rocktäschel, Jason Naradowsky, et al.*2016 · 116 citations*](https://md.research.elamur.ai/free/en/papers/bosnjak-2016-programming-differentiable-forth-interpreter/) 9. [**Neural Networks and the Chomsky Hierarchy arXiv:2207.02098**Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.*2022 · 112 citations*](https://md.research.elamur.ai/free/en/papers/deletang-2022-neural-networks-chomsky-hierarchy/) 10. [**Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis arXiv:1805.04276**Rudy Bunel, Matthew Hausknecht, Jacob Devlin, et al.*2018 · 66 citations*](https://md.research.elamur.ai/free/en/papers/bunel-2018-leveraging-grammar-reinforcement-learning-neural/) 11. [**Program Synthesis Foundations and Trends in Programming Languages 4(1-2)**Sumit Gulwani, Oleksandr Polozov, Rishabh Singh*2017 · 63 citations*](https://md.research.elamur.ai/free/en/papers/gulwani-2017-program-synthesis/) 12. **[Code Execution with Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/liu-2023-code-execution-pre-trained-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenxiao Liu, Shuai Lu, Weizhu Chen, et al.*2023 · 38 citations* 24 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/kurach-2015-neural-random-access-machines/) — Neural Random-Access Machines