Alec Radford

Publications by Year

Research Areas

Topic Modeling, Generative Adversarial Networks and Image Synthesis, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications

Most-Cited Works

• → Unsupervised Representation Learning with Deep Convolutional Generative\n Adversarial Networks(2015)7,640 cited
• → Learning Transferable Visual Models From Natural Language Supervision(2021)5,296 cited
• → 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
• → Improved Techniques for Training GANs(2016)1,383 cited
• → Robust Speech Recognition via Large-Scale Weak Supervision(2022)1,135 cited
• → Zero-Shot Text-to-Image Generation(2021)1,132 cited
• Generative Pretraining From Pixels(2020)