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Alec Radford
Alec Radford
OpenAI
Verified email at openai.com
Title
Cited by
Cited by
Year
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
273412020
Language Models are Unsupervised Multitask Learners
A Radford, J Wu, R Child, D Luan, D Amodei, I Sutskever
Technical report, OpenAi, 2019
20118*2019
Proximal policy optimization algorithms
J Schulman, F Wolski, P Dhariwal, A Radford, O Klimov
arXiv preprint arXiv:1707.06347, 2017
183962017
Unsupervised representation learning with deep convolutional generative adversarial networks
A Radford, L Metz, S Chintala
arXiv preprint arXiv:1511.06434, 2015
178542015
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
176702021
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
110982016
Improving language understanding by generative pre-training
A Radford, K Narasimhan, T Salimans, I Sutskever
103342018
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
39652021
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
22582021
Robust speech recognition via large-scale weak supervision
A Radford, JW Kim, T Xu, G Brockman, C McLeavey, I Sutskever
International Conference on Machine Learning, 28492-28518, 2023
19222023
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
16522023
Generating long sequences with sparse transformers
R Child, S Gray, A Radford, I Sutskever
arXiv preprint arXiv:1904.10509, 2019
16322019
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
15372020
Scaling laws for neural language models
J Kaplan, S McCandlish, T Henighan, TB Brown, B Chess, R Child, ...
arXiv preprint arXiv:2001.08361, 2020
12702020
Learning to summarize with human feedback
N Stiennon, L Ouyang, J Wu, D Ziegler, R Lowe, C Voss, A Radford, ...
Advances in Neural Information Processing Systems 33, 3008-3021, 2020
12012020
Openai baselines
P Dhariwal, C Hesse, O Klimov, A Nichol, M Plappert, A Radford, ...
10332017
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
9882019
Stable baselines
A Hill, A Raffin, M Ernestus, A Gleave, A Kanervisto, R Traore, P Dhariwal, ...
8792018
Jukebox: A generative model for music
P Dhariwal, H Jun, C Payne, JW Kim, A Radford, I Sutskever
arXiv preprint arXiv:2005.00341, 2020
6972020
Learning to generate reviews and discovering sentiment
A Radford, R Jozefowicz, I Sutskever
arXiv preprint arXiv:1704.01444, 2017
5602017
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