Tom B Brown

OpenAI

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Extracting Training Data from Large Language Models

Nicholas Carlini,Florian Tramer,Eric Wallace,Matthew Jagielski,Ariel Herbert-Voss,Katherine Lee, Adam Roberts,Tom Brown,Dawn Song, Ulfar Erlingsson,Alina Oprea,Colin Raffel

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Scaling Laws for Autoregressive Generative Modeling

Tom Henighan,Jared Kaplan, Mor Katz, Mark Chen, Christopher Hesse, Jacob Jackson, Heewoo Jun,Tom B. Brown, Prafulla Dhariwal,Scott Gray, Chris Hallacy, Benjamin Mann

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Language Models are Few-Shot Learners

Brown Tom B.,Mann Benjamin,Ryder Nick,Subbiah Melanie,Kaplan Jared,Dhariwal Prafulla,Neelakantan Arvind,Shyam Pranav,Sastry Girish,Askell Amanda,Agarwal Sandhini,Herbert-Voss Ariel

NIPS 2020, (2020)

Cited by180EIBibtex

Measuring the Algorithmic Efficiency of Neural Networks

Hernandez Danny,Brown Tom B.

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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

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Transfer of Adversarial Robustness Between Perturbation Types

Daniel Kang, Yi Sun,Tom Brown,Dan Hendrycks,Jacob Steinhardt

arXiv: Learning, (2019)

EIBibtex

Fine-Tuning Language Models from Human Preferences

Ziegler Daniel M.,Stiennon Nisan,Wu Jeffrey,Brown Tom B.,Radford Alec, Amodei Dario, Christiano Paul,Irving Geoffrey

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Testing Robustness Against Unforeseen Adversaries

Kang Daniel, Sun Yi,Hendrycks Dan,Brown Tom,Steinhardt Jacob

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Skill Rating for Generative Models

Catherine Olsson, Surya Bhupatiraju,Tom B. Brown,Augustus Odena,Ian J. Goodfellow

arXiv: Machine Learning, (2018)

EIBibtex

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Nicolas Papernot, Fartash Faghri, Nicholas Carlini,Ian J. Goodfellow, Reuben Feinman, Alexey Kurakin,Cihang Xie, Yash Sharma,Tom B. Brown, Aurko Roy, Alexander Matyasko, Vahid Behzadan

arXiv: Learning, (2018)

Cited by48Bibtex

Unrestricted Adversarial Examples

Tom B. Brown,Nicholas Carlini,Chiyuan Zhang, Catherine Olsson, Paul Francis Christiano,Ian J. Goodfellow

CoRR, (2018)

Cited by39EIBibtex

Is Generator Conditioning Causally Related to GAN Performance

Augustus Odena, Jacob Buckman, Catherine Olsson,Tom B. Brown, Christopher Olah,Colin Raffel,Ian J. Goodfellow

ICML, (2018)

Cited by57EIBibtex

Deep Reinforcement Learning from Human Preferences

Paul F. Christiano,Jan Leike,Tom B. Brown, Miljan Martic,Shane Legg, Dario Amodei

neural information processing systems, (2017): 4302-4310

Cited by295EIBibtex

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Tom B BrownBinding

Papers13 papers

Tom B Brown