Scott Gray

Publications by Year

Research Areas

Topic Modeling, Generative Adversarial Networks and Image Synthesis, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Advanced Neural Network Applications

Most-Cited Works

• → Language Models are Few-Shot Learners(2020)3,027 cited
• → Scaling Laws for Neural Language Models(2020)1,476 cited
• → Evaluating Large Language Models Trained on Code(2021)1,403 cited
• → Zero-Shot Text-to-Image Generation(2021)1,132 cited
• → Dota 2 with Large Scale Deep Reinforcement Learning(2019)1,043 cited
• → Fast Algorithms for Convolutional Neural Networks(2016)906 cited
• → Generating Long Sequences with Sparse Transformers(2019)489 cited
• → Non-polar ether-based electrolyte solutions for stable high-voltage non-aqueous lithium metal batteries(2023)251 cited
• → Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks(2017)166 cited
• → Scaling Laws for Autoregressive Generative Modeling(2020)149 cited