Sotabase

Career

· Assistant Professor, Stanford University2024–
· Member of Technical Staff / Researcher, Anthropic2023–
· Researcher, Allen Institute for Artificial Intelligence2022–2023
· Assistant Professor, University of Washington2021–2024
· Visiting Research Scientist, Toyota Research Institute2020–2021
· Postdoctoral Researcher, University of California, Berkeley2018–2020
· Intern, Google2016–2017
· Master of Science, Massachusetts Institute of Technology (MIT)2011–2013
· PhD Student, Massachusetts Institute of Technology (MIT)2011–2018
· Bachelor's degree, University of Cambridge2011–

Publications (447)

Towards Deep Learning Models Resistant to Adversarial Attacks
International Conference on Learning Representations · 2017
13,928
cited
LAION-5B: An open large-scale dataset for training next generation image-text models
Neural Information Processing Systems · 2022
4,615
cited
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
arXiv.org · 2022
2,201
cited
Do ImageNet Classifiers Generalize to ImageNet?
International Conference on Machine Learning · 2019
2,015
cited
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
International Conference on Machine Learning · 2022
1,328
cited
Reproducible Scaling Laws for Contrastive Language-Image Learning
Computer Vision and Pattern Recognition · 2022
1,188
cited
Measuring and Narrowing the Compositionality Gap in Language Models
Conference on Empirical Methods in Natural Language Processing · 2022
990
cited
Robust fine-tuning of zero-shot models
Computer Vision and Pattern Recognition · 2021
915
cited
Adversarially Robust Generalization Requires More Data
Neural Information Processing Systems · 2018
843
cited
Unlabeled Data Improves Adversarial Robustness
Neural Information Processing Systems · 2019
794
cited
Editing Models with Task Arithmetic
International Conference on Learning Representations · 2022
786
cited
Objaverse-XL: A Universe of 10M+ 3D Objects
Neural Information Processing Systems · 2023
661
cited
Measuring Robustness to Natural Distribution Shifts in Image Classification
Neural Information Processing Systems · 2020
640
cited
DataComp: In search of the next generation of multimodal datasets
Neural Information Processing Systems · 2023
596
cited
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
arXiv.org · 2023
555
cited
Retiring Adult: New Datasets for Fair Machine Learning
Neural Information Processing Systems · 2021
553
cited
Exploring the Landscape of Spatial Robustness
International Conference on Machine Learning · 2017
548
cited
Practical and Optimal LSH for Angular Distance
Neural Information Processing Systems · 2015
526
cited
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
arXiv.org · 2018
450
cited
A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations
arXiv.org · 2017
381
cited
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