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Scaling Laws for Autoregressive Generative Modeling.

T. Henighan, J. Kaplan, M. Katz, M. Chen, C. Hesse, J. Jackson, H. Jun, T. Brown, P. Dhariwal, S. Gray, C. Hallacy, B. Mann, A. Radford, A. Ramesh, N. Ryder, D. Ziegler, J. Schulman, D. Amodei, and S. McCandlish. CoRR, (2020)

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Christopher Christopher

Joachim Hesse

Julia Hesse

Günter Hesse

Bodo Hesse

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Gotta Learn Fast: A New Benchmark for Generalization in RL.A. Nichol, V. Pfau, C. Hesse, O. Klimov, and J. Schulman. CoRR, (2018)Leveraging Procedural Generation to Benchmark Reinforcement Learning.K. Cobbe, C. Hesse, J. Hilton, and J. Schulman. CoRR, (2019)Quantifying Generalization in Reinforcement Learning.K. Cobbe, O. Klimov, C. Hesse, T. Kim, and J. Schulman. ICML, volume 97 of Proceedings of Machine Learning Research, page 1282-1289. PMLR, (2019)WebGPT: Browser-assisted question-answering with human feedback.R. Nakano, J. Hilton, S. Balaji, J. Wu, L. Ouyang, C. Kim, C. Hesse, S. Jain, V. Kosaraju, W. Saunders and 8 other author(s). CoRR, (2021)Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.S. Mohanty, J. Poonganam, A. Gaidon, A. Kolobov, B. Wulfe, D. Chakraborty, G. Semetulskis, J. Schapke, J. Kubilius, J. Pasukonis and 13 other author(s). CoRR, (2021)Training Verifiers to Solve Math Word Problems.K. Cobbe, V. Kosaraju, M. Bavarian, M. Chen, H. Jun, L. Kaiser, M. Plappert, J. Tworek, J. Hilton, R. Nakano and 2 other author(s). CoRR, (2021)Scaling Laws for Autoregressive Generative Modeling.T. Henighan, J. Kaplan, M. Katz, M. Chen, C. Hesse, J. Jackson, H. Jun, T. Brown, P. Dhariwal, S. Gray and 9 other author(s). CoRR, (2020)Quantifying Generalization in Reinforcement Learning.K. Cobbe, O. Klimov, C. Hesse, T. Kim, and J. Schulman. CoRR, (2018)Evaluating Large Language Models Trained on Code.M. Chen, J. Tworek, H. Jun, Q. Yuan, H. de Oliveira Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman and 48 other author(s). CoRR, (2021)Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.S. Mohanty, J. Poonganam, A. Gaidon, A. Kolobov, B. Wulfe, D. Chakraborty, G. Semetulskis, J. Schapke, J. Kubilius, J. Pasukonis and 13 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 361-395. PMLR, (2020)

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Disambiguation of "Hesse, Christopher"

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Scaling Laws for Autoregressive Generative Modeling.

Please choose a person to relate this publication to

Christopher Christopher

Joachim Hesse

Julia Hesse

Günter Hesse

Bodo Hesse

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hesse, Christopher"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scaling Laws for Autoregressive Generative Modeling.

Please choose a person to relate this publication to

Christopher Christopher

Joachim Hesse

Julia Hesse

Günter Hesse

Bodo Hesse

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Scaling Laws for Autoregressive Generative Modeling.