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Competition-level code generation with AlphaCode
Li, Yujia, Choi, David, Chung, Junyoung, Kushman, Nate, Schrittwieser, Julian, Leblond, Rémi, Eccles, Tom, Keeling, James, Gimeno, Felix, Dal Lago, Agustin, Hubert, Thomas, Choy, Peter, de Masson d’Autume, Cyprien, Babuschkin, Igor, Chen, Xinyun, Huang, Po-Sen, Welbl, Johannes, Gowal, Sven, Cherepanov, Alexey, Molloy, James, Mankowitz, Daniel J., Sutherland Robson, Esme, Kohli, Pushmeet, de Freitas, Nando, Kavukcuoglu, Koray, Vinyals, Oriol
Published in Science (American Association for the Advancement of Science) (09.12.2022)
Published in Science (American Association for the Advancement of Science) (09.12.2022)
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Solving math word problems with process- and outcome-based feedback
Uesato, Jonathan, Kushman, Nate, Kumar, Ramana, Song, Francis, Siegel, Noah, Wang, Lisa, Creswell, Antonia, Irving, Geoffrey, Higgins, Irina
Year of Publication 25.11.2022
Year of Publication 25.11.2022
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Learning Robust Representations via Multi-View Information Bottleneck
Federici, Marco, Dutta, Anjan, Forré, Patrick, Kushman, Nate, Akata, Zeynep
Year of Publication 17.02.2020
Year of Publication 17.02.2020
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PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
Song, Yang, Kim, Taesup, Nowozin, Sebastian, Ermon, Stefano, Kushman, Nate
Year of Publication 30.10.2017
Year of Publication 30.10.2017
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Differentiable Programs with Neural Libraries
Gaunt, Alexander L, Brockschmidt, Marc, Kushman, Nate, Tarlow, Daniel
Year of Publication 07.11.2016
Year of Publication 07.11.2016
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Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
Locascio, Nicholas, Narasimhan, Karthik, DeLeon, Eduardo, Kushman, Nate, Barzilay, Regina
Year of Publication 09.08.2016
Year of Publication 09.08.2016
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Competition-Level Code Generation with AlphaCode
Li, Yujia, Choi, David, Chung, Junyoung, Kushman, Nate, Schrittwieser, Julian, Leblond, Rémi, Eccles, Tom, Keeling, James, Gimeno, Felix, Agustin Dal Lago, Thomas, Hubert, Choy, Peter, Cyprien de Masson d'Autume, Babuschkin, Igor, Chen, Xinyun, Po-Sen, Huang, Welbl, Johannes, Gowal, Sven, Cherepanov, Alexey, Molloy, James, Mankowitz, Daniel J, Esme Sutherland Robson, Kohli, Pushmeet, Nando de Freitas, Kavukcuoglu, Koray, Vinyals, Oriol
Published in arXiv.org (08.02.2022)
Published in arXiv.org (08.02.2022)
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Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data
Lunz, Sebastian, Li, Yingzhen, Fitzgibbon, Andrew, Kushman, Nate
Published in arXiv.org (28.02.2020)
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Published in arXiv.org (28.02.2020)
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Learning Robust Representations via Multi-View Information Bottleneck
Federici, Marco, Dutta, Anjan, ré, Patrick, Kushman, Nate, Akata, Zeynep
Published in arXiv.org (18.02.2020)
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Published in arXiv.org (18.02.2020)
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Summary - TerpreT: A Probabilistic Programming Language for Program Induction
Gaunt, Alexander L, Brockschmidt, Marc, Singh, Rishabh, Kushman, Nate, Kohli, Pushmeet, Taylor, Jonathan, Tarlow, Daniel
Year of Publication 02.12.2016
Year of Publication 02.12.2016
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