Obserwuj
Alec Radford
Alec Radford
OpenAI
Zweryfikowany adres z openai.com
Tytuł
Cytowane przez
Cytowane przez
Rok
Unsupervised representation learning with deep convolutional generative adversarial networks
A Radford, L Metz, S Chintala
arXiv preprint arXiv:1511.06434, 2015
128812015
Proximal policy optimization algorithms
J Schulman, F Wolski, P Dhariwal, A Radford, O Klimov
arXiv preprint arXiv:1707.06347, 2017
83022017
Language Models are Unsupervised Multitask Learners
A Radford, J Wu, R Child, D Luan, D Amodei, I Sutskever
Technical report, OpenAi, 2019
7575*2019
Improved techniques for training gans
T Salimans, I Goodfellow, W Zaremba, V Cheung, A Radford, X Chen
Advances in neural information processing systems 29, 2016
69952016
Language models are few-shot learners
T Brown, B Mann, N Ryder, M Subbiah, JD Kaplan, P Dhariwal, ...
Advances in neural information processing systems 33, 1877-1901, 2020
50282020
Improving language understanding by generative pre-training
A Radford, K Narasimhan, T Salimans, I Sutskever
4434*2018
Learning Transferable Visual Models From Natural Language Supervision
A Radford, JW Kim, C Hallacy, A Ramesh, G Goh, S Agarwal, G Sastry, ...
https://cdn.openai.com/papers …, 2021
15992021
Openai baselines
P Dhariwal, C Hesse, O Klimov, A Nichol, M Plappert, A Radford, ...
8192017
Generating long sequences with sparse transformers
R Child, S Gray, A Radford, I Sutskever
arXiv preprint arXiv:1904.10509, 2019
7242019
Stable baselines
A Hill, A Raffin, M Ernestus, A Gleave, A Kanervisto, R Traore, P Dhariwal, ...
6392018
Zero-shot text-to-image generation
A Ramesh, M Pavlov, G Goh, S Gray, C Voss, A Radford, M Chen, ...
International Conference on Machine Learning, 8821-8831, 2021
5892021
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
5362020
Learning to generate reviews and discovering sentiment
A Radford, R Jozefowicz, I Sutskever
arXiv preprint arXiv:1704.01444, 2017
4172017
Scaling laws for neural language models
J Kaplan, S McCandlish, T Henighan, TB Brown, B Chess, R Child, ...
arXiv preprint arXiv:2001.08361, 2020
2392020
Jukebox: A generative model for music
P Dhariwal, H Jun, C Payne, JW Kim, A Radford, I Sutskever
arXiv preprint arXiv:2005.00341, 2020
2382020
Improving GANs using optimal transport
T Salimans, H Zhang, A Radford, D Metaxas
arXiv preprint arXiv:1803.05573, 2018
2262018
Evaluating large language models trained on code
M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374, 2021
1762021
Better language models and their implications
A Radford, J Wu, D Amodei, D Amodei, J Clark, M Brundage, I Sutskever
OpenAI blog 1, 2, 2019
1522019
Proximal policy optimization algorithms (2017)
J Schulman, F Wolski, P Dhariwal, A Radford, O Klimov
arXiv preprint arXiv:1707.06347 69, 2017
1472017
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
1422019
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