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Scaling Laws for Autoregressive Generative Modeling

Nov 06, 2020
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, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M. Ziegler, John Schulman, Dario Amodei, Sam McCandlish

* 20+17 pages, 33 figures; added appendix with additional language results 

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An Empirical Study on Hyperparameters and their Interdependence for RL Generalization

Jun 02, 2019
Xingyou Song, Yilun Du, Jacob Jackson

* Published in ICML 2019 Workshop "Understanding and Improving Generalization in Deep Learning" 

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Semi-Supervised Learning by Label Gradient Alignment

Feb 06, 2019
Jacob Jackson, John Schulman

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