Alec Radford

According to our database1, Alec Radford authored at least 23 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Robust Speech Recognition via Large-Scale Weak Supervision.
Proceedings of the International Conference on Machine Learning, 2023

2022
Text and Code Embeddings by Contrastive Pre-Training.
CoRR, 2022

2021
Unsupervised Neural Machine Translation with Generative Language Models Only.
CoRR, 2021

Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications.
CoRR, 2021

Evaluating Large Language Models Trained on Code.
CoRR, 2021

Zero-Shot Text-to-Image Generation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Transferable Visual Models From Natural Language Supervision.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Scaling Laws for Autoregressive Generative Modeling.
CoRR, 2020

Learning to summarize from human feedback.
CoRR, 2020

Jukebox: A Generative Model for Music.
CoRR, 2020

Scaling Laws for Neural Language Models.
CoRR, 2020

Learning to summarize with human feedback.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


Distribution Augmentation for Generative Modeling.
Proceedings of the 37th International Conference on Machine Learning, 2020

Generative Pretraining From Pixels.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Fine-Tuning Language Models from Human Preferences.
CoRR, 2019

Release Strategies and the Social Impacts of Language Models.
CoRR, 2019

Generating Long Sequences with Sparse Transformers.
CoRR, 2019

2018
Improving GANs Using Optimal Transport.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Proximal Policy Optimization Algorithms.
CoRR, 2017

Learning to Generate Reviews and Discovering Sentiment.
CoRR, 2017

2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.
Proceedings of the 4th International Conference on Learning Representations, 2016

Improved Techniques for Training GANs.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016


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