Alec

Alec Radford

#158,352
Most Influential Person Now

Alec Radford's Academic­Influence.com Rankings

Alec Radford
Computer Science
#8894
World Rank
#9350
Historical Rank
Algorithms
#353
World Rank
#358
Historical Rank
Machine Learning
#3761
World Rank
#3807
Historical Rank
Artificial Intelligence
#4080
World Rank
#4138
Historical Rank
computer-science Degrees
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  • Computer Science

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Alec Radford's Published Works

Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
194019501960197019801990200020102020012502500375050006250750087501000011250125001375015000

Published Works

  • Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (2015) (11644)
  • Language Models are Few-Shot Learners (2020) (9748)
  • Language Models are Unsupervised Multitask Learners (2019) (9533)
  • Proximal Policy Optimization Algorithms (2017) (8568)
  • Improved Techniques for Training GANs (2016) (6705)
  • Improving Language Understanding by Generative Pre-Training (2018) (5141)
  • Learning Transferable Visual Models From Natural Language Supervision (2021) (4645)
  • Zero-Shot Text-to-Image Generation (2021) (1382)
  • Scaling Laws for Neural Language Models (2020) (956)
  • Generating Long Sequences with Sparse Transformers (2019) (939)
  • Generative Pretraining From Pixels (2020) (827)
  • Evaluating Large Language Models Trained on Code (2021) (767)
  • Learning to Generate Reviews and Discovering Sentiment (2017) (416)
  • Jukebox: A Generative Model for Music (2020) (302)
  • Learning to summarize from human feedback (2020) (261)
  • Improving GANs Using Optimal Transport (2018) (245)
  • Fine-Tuning Language Models from Human Preferences (2019) (242)
  • Release Strategies and the Social Impacts of Language Models (2019) (170)
  • Scaling Laws for Autoregressive Generative Modeling (2020) (146)
  • Multimodal Neurons in Artificial Neural Networks (2021) (144)
  • GPU Kernels for Block-Sparse Weights (2017) (123)
  • Robust Speech Recognition via Large-Scale Weak Supervision (2022) (111)
  • Text and Code Embeddings by Contrastive Pre-Training (2022) (54)
  • Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications (2021) (43)
  • Distribution Augmentation for Generative Modeling (2020) (41)
  • Unsupervised Neural Machine Translation with Generative Language Models Only (2021) (14)
  • Multimodal Conversational AI A Survey of Datasets and Approaches (2022) (7)
  • Active Learning is a Strong Baseline for Data Subset Selection (2022) (1)
  • Potential Causes of Failure in an Aluminum Sand-Cast Pot from Zambia (2015) (1)
  • Learning a System-ID Embedding Space for Domain Specialization with Deep Reinforcement Learning (2018) (1)
  • Conditional Augmentation for Generative Modeling (2020) (0)
  • ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts (2022) (0)
  • U NSUPERVISED R EPRESENTATION L EARNING WITH D EEP C ONVOLUTIONAL G ENERATIVE A DVERSARIAL N ETWORKS (2016) (0)

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