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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)

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X Cheng

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Jane Horn

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Meta-in-context learning in large language models.J. Coda-Forno, M. Binz, Z. Akata, M. Botvinick, J. Wang, and E. Schulz. CoRR, (2023)Learning to Induce Causal Structure.N. Ke, S. Chiappa, J. Wang, J. Bornschein, A. Goyal, M. Rey, T. Weber, M. Botvinick, M. Mozer, and D. Rezende. ICLR, OpenReview.net, (2023)Passive learning of active causal strategies in agents and language models.A. Lampinen, S. Chan, I. Dasgupta, A. Nam, and J. Wang. CoRR, (2023)Meta-learning in natural and artificial intelligence.J. Wang. CoRR, (2020)Structural and Functional MRI Evidence for Distinct Medial Temporal and Prefrontal Roles in Context-dependent Relational Memory.H. Schwarb, C. Johnson, M. Dulas, M. McGarry, J. Holtrop, P. Watson, J. Wang, J. Voss, B. Sutton, and N. Cohen. J. Cogn. Neurosci., 31 (12): 1857-1872 (2019)Reinforcement Learning, Fast and SlowM. Botvinick, S. Ritter, J. Wang, Z. Kurth-Nelson, C. Blundell, and D. Hassabis. Trends in Cognitive Sciences, 23 (5): 408--422 (May 2019)Learning to reinforcement learnJ. Wang, Z. Kurth-Nelson, D. Tirumala, H. Soyer, J. Leibo, R. Munos, C. Blundell, D. Kumaran, and M. Botvinick. (2016)cite arxiv:1611.05763Comment: 17 pages, 7 figures, 1 table.Beyond Bayes-optimality: meta-learning what you know you don't know.J. Grau-Moya, G. Delétang, M. Kunesch, T. Genewein, E. Catt, K. Li, A. Ruoss, C. Cundy, J. Veness, J. Wang and 4 other author(s). CoRR, (2022)Tell me why! Explanations support learning relational and causal structure.A. Lampinen, N. Roy, I. Dasgupta, S. Chan, A. Tam, J. McClelland, C. Yan, A. Santoro, N. Rabinowitz, J. Wang and 1 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 11868-11890. PMLR, (2022)Been There, Done That: Meta-Learning with Episodic Recall.S. Ritter, J. Wang, Z. Kurth-Nelson, S. Jayakumar, C. Blundell, R. Pascanu, and M. Botvinick. ICML, volume 80 of Proceedings of Machine Learning Research, page 4351-4360. PMLR, (2018)

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Disambiguation of "Wang, Jane X."

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Data Distributional Properties Drive Emergent In-Context Learning in Transformers.

Please choose a person to relate this publication to

X Schmid

X Cheng

X Roth

X Lin

Jane Horn

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wang, Jane X."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Data Distributional Properties Drive Emergent In-Context Learning in Transformers.

Please choose a person to relate this publication to

X Schmid

X Cheng

X Roth

X Lin

Jane Horn

Other publications of authors with the same name

Disambiguation

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URL
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Chicago
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Data Distributional Properties Drive Emergent In-Context Learning in Transformers.