Alec Radford
Alec Radford
OpenAI
Verified email at openai.com
Title
Cited by
Cited by
Year
Unsupervised representation learning with deep convolutional generative adversarial networks
A Radford, L Metz, S Chintala
arXiv preprint arXiv:1511.06434, 2015
81952015
Improved techniques for training gans
T Salimans, I Goodfellow, W Zaremba, V Cheung, A Radford, X Chen
arXiv preprint arXiv:1606.03498, 2016
44692016
Proximal policy optimization algorithms
J Schulman, F Wolski, P Dhariwal, A Radford, O Klimov
arXiv preprint arXiv:1707.06347, 2017
35742017
Language Models are Unsupervised Multitask Learners
A Radford, J Wu, R Child, D Luan, D Amodei, I Sutskever
Technical report, OpenAi, 2019
2509*2019
Improving language understanding by generative pre-training
A Radford, K Narasimhan, T Salimans, I Sutskever
1978*2018
Openai baselines
P Dhariwal, C Hesse, O Klimov, A Nichol, M Plappert, A Radford, ...
5942017
Language models are few-shot learners
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
arXiv preprint arXiv:2005.14165, 2020
4472020
Learning to generate reviews and discovering sentiment
A Radford, R Jozefowicz, I Sutskever
arXiv preprint arXiv:1704.01444, 2017
3092017
Stable baselines
A Hill, A Raffin, M Ernestus, A Gleave, R Traore, P Dhariwal, C Hesse, ...
GitHub repository, 2018
2602018
Generating long sequences with sparse transformers
R Child, S Gray, A Radford, I Sutskever
arXiv preprint arXiv:1904.10509, 2019
1942019
Improving GANs using optimal transport
T Salimans, H Zhang, A Radford, D Metaxas
arXiv preprint arXiv:1803.05573, 2018
1392018
Gpu kernels for block-sparse weights
S Gray, A Radford, DP Kingma
arXiv preprint arXiv:1711.09224 3, 2017
712017
Better language models and their implications
A Radford, J Wu, D Amodei, D Amodei, J Clark, M Brundage, I Sutskever
OpenAI Blog https://openai. com/blog/better-language-models, 2019
642019
Proximal policy optimization algorithms. arXiv 2017
J Schulman, F Wolski, P Dhariwal, A Radford, O Klimov
arXiv preprint arXiv:1707.06347, 0
58
Release strategies and the social impacts of language models
I Solaiman, M Brundage, J Clark, A Askell, A Herbert-Voss, J Wu, ...
arXiv preprint arXiv:1908.09203, 2019
492019
Jukebox: A generative model for music
P Dhariwal, H Jun, C Payne, JW Kim, A Radford, I Sutskever
arXiv preprint arXiv:2005.00341, 2020
382020
Fine-tuning language models from human preferences
DM Ziegler, N Stiennon, J Wu, TB Brown, A Radford, D Amodei, ...
arXiv preprint arXiv:1909.08593, 2019
302019
Scaling laws for neural language models
J Kaplan, S McCandlish, T Henighan, TB Brown, B Chess, R Child, ...
arXiv preprint arXiv:2001.08361, 2020
292020
Generative pretraining from pixels
M Chen, A Radford, R Child, J Wu, H Jun, D Luan, I Sutskever
International Conference on Machine Learning, 1691-1703, 2020
162020
Learning to summarize from human feedback
N Stiennon, L Ouyang, J Wu, DM Ziegler, R Lowe, C Voss, A Radford, ...
arXiv preprint arXiv:2009.01325, 2020
62020
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