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Rewon Child
Rewon Child
Founding Team / Technical Staff at Inflection
Verified email at inflection.ai - Homepage
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
31993*2020
Language models are unsupervised multitask learners
A Radford, J Wu, R Child, D Luan, D Amodei, I Sutskever
OpenAI blog 1 (8), 9, 2019
19356*2019
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
Journal of Machine Learning Research 24 (240), 1-113, 2023
35882023
Scaling laws for neural language models
J Kaplan, S McCandlish, T Henighan, TB Brown, B Chess, R Child, ...
arXiv preprint arXiv:2001.08361, 2020
19272020
Generating long sequences with sparse transformers
R Child, S Gray, A Radford, I Sutskever
arXiv preprint arXiv:1904.10509, 2019
16152019
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
14922020
Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
arXiv preprint arXiv:2201.11990, 2022
5112022
Very deep vaes generalize autoregressive models and can outperform them on images
R Child
International Conference on Learning Representations (ICLR) 2021, Spotlight, 2020
2832020
Convolutional recurrent neural networks for small-footprint keyword spotting
SO Arik, M Kliegl, R Child, J Hestness, A Gibiansky, C Fougner, ...
arXiv preprint arXiv:1703.05390, 2017
274*2017
Exploring neural transducers for end-to-end speech recognition
E Battenberg, J Chen, R Child, A Coates, YGY Li, H Liu, S Satheesh, ...
2017 IEEE automatic speech recognition and understanding workshop (ASRU …, 2017
272*2017
Language models are unsupervised multitask learners. 2019
A Radford, J Wu, R Child, D Luan, D Amodei, I Sutskever
URL https://d4mucfpksywv. cloudfront. net/better-language-models/language …, 2019
2052019
Language models are few-shot learners. arXiv
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
Computer Science, Computation and Language, 2005
1462005
DALL· E: Creating images from text
A Ramesh, M Pavlov, G Goh, S Gray, M Chen, R Child, V Misra, P Mishkin, ...
OpenAI blog. https://openai. com/blog/dall-e, 2021
832021
Palm: Scaling language modeling with pathways. arXiv 2022
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
arXiv preprint arXiv:2204.02311 10, 2022
792022
Language models are few-shot learners. CoRR abs/2005.14165 (2020)
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
URL: https://arxiv. org/abs/2005.14165, 2005
722005
Active learning for speech recognition: the power of gradients
J Huang, R Child, V Rao, H Liu, S Satheesh, A Coates
arXiv preprint arXiv:1612.03226, 2016
642016
Scaling laws for neural language models. arXiv 2020
J Kaplan, S McCandlish, T Henighan, TB Brown, B Chess, R Child, ...
arXiv preprint arXiv:2001.08361, 2001
592001
Language models are few-shot learners
B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, A Neelakantan, ...
arXiv preprint arXiv:2005.14165, 2020
552020
Distribution augmentation for generative modeling
H Jun, R Child, M Chen, J Schulman, A Ramesh, A Radford, I Sutskever
International Conference on Machine Learning, 5006-5019, 2020
532020
Language models are unsupervised multitask learners
J Wu, R Child, D Luan, D Amodei, I Sutskever
OpenAI blog 1 (8), 9, 2019
492019
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