Tom B. Brown | DeepAI

AI Chat

Featured Co-authors

Nicholas Carlini
63 publications
Colin Raffel
57 publications
Ilya Sutskever
53 publications
Ian Goodfellow
50 publications
Shane Legg
41 publications
John Schulman
31 publications
Dario Amodei
27 publications
Jan Leike
27 publications
Chiyuan Zhang
26 publications
Justin Gilmer
25 publications
Augustus Odena
22 publications

∙ 10/28/2020

Scaling Laws for Autoregressive Generative Modeling

We identify empirical scaling laws for the cross-entropy loss in four do...

2 Tom Henighan, et al. ∙

∙ 05/28/2020

Language Models are Few-Shot Learners

Recent work has demonstrated substantial gains on many NLP tasks and ben...

34 Tom B. Brown, et al. ∙

∙ 05/08/2020

Measuring the Algorithmic Efficiency of Neural Networks

Three factors drive the advance of AI: algorithmic innovation, data, and...

0 Danny Hernandez, et al. ∙

∙ 01/23/2020

Scaling Laws for Neural Language Models

We study empirical scaling laws for language model performance on the cr...

0 Jared Kaplan, et al. ∙

∙ 09/18/2019

Fine-Tuning Language Models from Human Preferences

Reward learning enables the application of reinforcement learning (RL) t...

0 Daniel M. Ziegler, et al. ∙

∙ 09/22/2018

Unrestricted Adversarial Examples

We introduce a two-player contest for evaluating the safety and robustne...

14 Tom B. Brown, et al. ∙

∙ 02/23/2018

Is Generator Conditioning Causally Related to GAN Performance?

Recent work (Pennington et al, 2017) suggests that controlling the entir...

0 Augustus Odena, et al. ∙

∙ 12/27/2017

Adversarial Patch

We present a method to create universal, robust, targeted adversarial im...

0 Tom B. Brown, et al. ∙

∙ 06/12/2017

Deep reinforcement learning from human preferences

For sophisticated reinforcement learning (RL) systems to interact useful...

0 Paul Christiano, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world