Rewon Child - Microsoft AI | 人才画像

基本信息

Career Trajectory

Bio

I'm working to make machines more helpful through unsupervised learning that scales.
I developed the Sparse Transformer with Scott Gray, and also coauthored work showing the emergent capabilities of large language models in a variety of settings (GPT-2, GPT-3, Image GPT, and more).
More recently I've worked on reducing the limitations of those techniques (very deep VAEs) while continuing to apply them on larger supercomputers (MT-NLG and PaLM).

Research Interests

Papers共 16 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Cheater’s Bowl: Human Vs. Computer Search Strategies for Open-Domain Question Answering

Contact Jordan,Boyd-Graber,Leonard Adolphs, Benjamin Boerschinger, Michelle Chen Buck, Massimiliano Huebscher, Lasse Cia-66 ramita, Thomas Espeholt, Hofmann, Yannic, Sascha Kilcher, Pier Giuseppe Rothe, Sessa,Akari Asai,Kazuma Hashimoto,Hannaneh Hajishirzi, A. Aula, Natalie Jhaveri, Mika Käki., Infor-67,Steven Bird,Ewan Klein,E. Loper, Nat-67,Tom Brown,Benjamin Mann,Nick Ryder,Melanie Subbiah,Jared Kaplan,Prafulla Dhariwal,Arvind Neelakantan,Pranav Shyam,Girish Sastry,Amanda Askell,Sandhini Agarwal,Ariel Herbert-Voss,Gretchen Krueger,T. Henighan,Rewon Child, A. Ramesh,Daniel M. Ziegler, Jeffrey Wu,Clemens Winter,Chris Hesse,Mark Chen,Eric Sigler,Mateusz Litwin, S. Gray,Benjamin Chess,Jack Clark,Christopher Berner,Sam McCandlish

semanticscholar（2023）

Cited0Views0Bibtex

PaLM: Scaling Language Modeling with Pathways

Aakanksha Chowdhery,Sharan Narang,Jacob Devlin,Maarten Bosma,Gaurav Mishra,Adam Roberts,Paul Barham,Hyung Won Chung,Charles Sutton,Sebastian Gehrmann,Parker Schuh,Kensen Shi,Sasha Tsvyashchenko,Joshua Maynez,Abhishek Rao,Parker Barnes,Yi Tay,Noam Shazeer,Vinodkumar Prabhakaran,Emily Reif,Nan Du,Ben Hutchinson,Reiner Pope,James Bradbury,Jacob Austin,Michael Isard,Guy Gur-Ari,Pengcheng Yin,Toju Duke,Anselm Levskaya,Sanjay Ghemawat,Sunipa Dev,Henryk Michalewski,Xavier Garcia,Vedant Misra,Kevin Robinson,Liam Fedus,Denny Zhou,Daphne Ippolito,David Luan,Hyeontaek Lim,Barret Zoph,Alexander Spiridonov,Ryan Sepassi,David Dohan,Shivani Agrawal,Mark Omernick,Andrew M. Dai,Thanumalayan Sankaranarayana Pillai,Marie Pellat,Aitor Lewkowycz,Erica Moreira,Rewon Child,Oleksandr Polozov,Katherine Lee,Zongwei Zhou,Xuezhi Wang,Brennan Saeta,Mark Diaz,Orhan Firat,Michele Catasta,Jason Wei,Kathy Meier-Hellstern,Douglas Eck,Jeff Dean,Slav Petrov,Noah Fiedel

JOURNAL OF MACHINE LEARNING RESEARCH (2023)

Cited6254Views0EIBibtex

6254

Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

Rewon Child

ICLR 2021（2021）

Cited380Views0EIBibtex

380

Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda

Antonis Maronikolakis,Hinrich Schütze, Mark Stevenson, T. B. Brown, Benjamin F. Mann, N. C. Ryder,Melanie Subbiah,Jared Kaplan,Prafulla Dhariwal,Arvind Neelakantan,Pranav Shyam,Girish Sastry,Amanda Askell,Sandhini Agarwal, Andreas Voss,Gretchen Krueger,Tom Henighan,Rewon Child,A. Ramesh,Daniel M. Ziegler,Jeffrey C.S. Wu,Clemens Winter,Chris Hesse,Mark Chen, Eric J. Sigler,Mateusz Litwin,Scott Gray,Benjamin Chess, Jack A. Clark,Christopher Berner,Ashish Vaswani,Noam Shazeer,Niki Parmar,Jakob Uszkoreit,Llion Jones,Aidan N. Gomez,Rowan Zellers,Ari Holtzman,Hannah Rashkin,Yonatan Bisk,Jens Lemmens,Ilia Markov, Walter Daelemans, Valerio Basile, Cristina Bosco,Elisabetta Fersini,Debora Nozza,Viviana Patti, Francisco Manuel, George Lakoff, Mark Metaphors,Fabián Pedregosa,Gaël Varoquaux,A Gramfort, Vincent Michel,B Thirion,Olivier Grisel, Marion Blondel,Peter Prettenhofer

openalex（2021）

Cited7Views0Bibtex

Scaling Laws for Neural Language Models

Kaplan Jared,McCandlish Sam,Henighan Tom,Brown Tom B.,Chess Benjamin,Child Rewon,Gray Scott,Radford Alec,Wu Jeffrey,Amodei Dario

CoRR (2020)

Cited3497Views0EIBibtex

3497

Language Models Are Few-Shot Learners

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020 (2020)

Cited45399Views0EIBibtex

45399

Generative Pretraining from Pixels

Mark Chen,Alec Radford,Rewon Child,Jeff Wu,Heewoo Jun,David Luan,Ilya Sutskever

International Conference on Machine Learningpp.1691-1703, (2020)

Cited1991Views0EIBibtex

1991

Distribution Augmentation for Generative Modeling

Heewoo Jun,Rewon Child,Mark Chen,John Schulman,Aditya Ramesh,Alec Radford,Ilya Sutskever

International Conference on Machine Learning（2020）

Cited64Views0EIBibtex

Conditional Augmentation for Generative Modeling

Heewoo Jun,Rewon Child,Mark Chen,John Schulman,Aditya Ramesh,Alec Radford,Ilya Sutskever

International Conference on Machine Learning（2020）

Cited0Views0Bibtex

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Rewon Child(石井興元)

Technical Advisor

Papers共 16 篇Author StatisticsCo-AuthorSimilar Experts