Sotabase

Career

· Co-founder, Safe Superintelligence Inc2024–
· Chief Scientist, OpenAI2015–2023
· Research Scientist, Google Brain2013–2015
· Co-founder, DNNresearch2012–2013
· Postdoctoral Researcher, Stanford University2012–
· PhD in Computer Science, University of Toronto2007–2013
· MS in Computer Science, University of Toronto2005–2007
· BSc in Mathematics, University of Toronto2002–2005
· Graduate Student, Open University of Israel2000–2002

Publications (162)

ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2012
126,487
cited
Language Models are Few-Shot Learners
Neural Information Processing Systems · 2020
53,522
cited
Learning Transferable Visual Models From Natural Language Supervision
International Conference on Machine Learning · 2021
42,493
cited
Dropout: a simple way to prevent neural networks from overfitting
Journal of machine learning research · 2014
42,312
cited
Distributed Representations of Words and Phrases and their Compositionality
Neural Information Processing Systems · 2013
34,814
cited
Language Models are Unsupervised Multitask Learners
2019
27,061
cited
Sequence to Sequence Learning with Neural Networks
Neural Information Processing Systems · 2014
21,667
cited
GPT-4 Technical Report
2023
21,596
cited
Mastering the game of Go with deep neural networks and tree search
Nature · 2016
18,352
cited
Intriguing properties of neural networks
International Conference on Learning Representations · 2013
16,121
cited
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
arXiv.org · 2016
11,560
cited
Evaluating Large Language Models Trained on Code
arXiv.org · 2021
8,151
cited
Improving neural networks by preventing co-adaptation of feature detectors
arXiv.org · 2012
7,937
cited
Zero-Shot Text-to-Image Generation
International Conference on Machine Learning · 2021
6,068
cited
Robust Speech Recognition via Large-Scale Weak Supervision
International Conference on Machine Learning · 2022
5,965
cited
On the importance of initialization and momentum in deep learning
International Conference on Machine Learning · 2013
5,132
cited
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
International Conference on Machine Learning · 2021
4,432
cited
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Neural Information Processing Systems · 2016
4,432
cited
GPT-4o System Card
arXiv.org · 2024
2,980
cited
Recurrent Neural Network Regularization
arXiv.org · 2014
2,958
cited
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