Rewon Child is an author at OpenAI (United States) specializing in machine learning, engineering, and computer science.
Top concepts
EngineeringMachine LearningComputer ScienceDeep LearningData ScienceNatural Language ProcessingMachine TranslationLinguisticsSpeech ProcessingSpeech Recognition
Publications per year
2016–2022
14
14
Language Models are Few-Shot Learners
T. B. Brown, Benjamin Mann, Nick Ryder et al. · arXiv (Cornell University) · 2020 · 3K citations · Full text
Artificial Intelligence, Few-shot Learning, Llm Fine-tuning +20
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin et al. · arXiv (Cornell University) · 2022 · 2.1K citations · Full text
Scaling Laws for Neural Language Models
Jared Kaplan, Sam McCandlish, Tom Henighan et al. · arXiv (Cornell University) · 2020 · 1.5K citations · Full text
Generative Pretraining From Pixels
Mark Chen, Alec Radford, Rewon Child et al. · International Conference on Machine Learning · 2020 · 566 citations
Generating Long Sequences with Sparse Transformers
Rewon Child, Scott Gray, Alec Radford et al. · arXiv (Cornell University) · 2019 · 489 citations · Full text
Rows per page
1–5 of 14