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Relational inductive biases, deep learning, and graph networks

P. Battaglia, J. 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)cite arxiv:1806.01261.

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Francesca Santoro

Michele Santoro

Anthony Santoro

Maurizio Santoro

Pablo Santoro

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Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures.D. Ding, F. Hill, A. Santoro, and M. Botvinick. CoRR, (2020)Automated curriculum generation through setter-solver interactions.S. Racanière, A. Lampinen, A. Santoro, D. Reichert, V. Firoiu, and T. Lillicrap. ICLR, OpenReview.net, (2020)Relational inductive biases, deep learning, and graph networksP. Battaglia, J. Hamrick, V. Bapst, A. Sanchez-Gonzalez, V. Zambaldi, M. Malinowski, A. Tacchetti, D. Raposo, A. Santoro, R. Faulkner and 1 other author(s). arXiv preprint arXiv:1806.01261, (2018)Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.D. Raposo, S. Ritter, B. Richards, T. Lillicrap, P. Humphreys, and A. Santoro. CoRR, (2024)A data-driven approach for learning to control computers.P. Humphreys, D. Raposo, T. Pohlen, G. Thornton, R. Chhaparia, A. Muldal, J. Abramson, P. Georgiev, A. Santoro, and T. Lillicrap. ICML, volume 162 of Proceedings of Machine Learning Research, page 9466-9482. PMLR, (2022)Data Distributional Properties Drive Emergent In-Context Learning in Transformers.S. Chan, A. Santoro, A. Lampinen, J. Wang, A. Singh, P. Richemond, J. McClelland, and F. Hill. NeurIPS, (2022)Meta-Learning with Memory-Augmented Neural Networks.A. Santoro, S. Bartunov, M. Botvinick, D. Wierstra, and T. Lillicrap. ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1842-1850. JMLR.org, (2016)One-shot Learning with Memory-Augmented Neural NetworksA. Santoro, S. Bartunov, M. Botvinick, D. Wierstra, and T. Lillicrap. CoRR, (2016)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.A. Srivastava, A. Rastogi, A. Rao, A. Shoeb, A. Abid, A. Fisch, A. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso and 440 other author(s). CoRR, (2022)Hyperbolic Attention Networks.Ç. Gülçehre, M. Denil, M. Malinowski, A. Razavi, R. Pascanu, K. Hermann, P. Battaglia, V. Bapst, D. Raposo, A. Santoro and 1 other author(s). ICLR (Poster), OpenReview.net, (2019)

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Disambiguation of "Santoro, Adam"

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Relational inductive biases, deep learning, and graph networks

Please choose a person to relate this publication to

Francesca Santoro

Michele Santoro

Anthony Santoro

Maurizio Santoro

Pablo Santoro

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Santoro, Adam"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Relational inductive biases, deep learning, and graph networks

Please choose a person to relate this publication to

Francesca Santoro

Michele Santoro

Anthony Santoro

Maurizio Santoro

Pablo Santoro

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Relational inductive biases, deep learning, and graph networks