Sotabase

Career

· Senior Research Scientist, Google DeepMind2023–
· Assistant Professor, Allen School of Computer Science & Engineering, University of Washington2023–
· PhD in Computer Science, Stanford University2022–
· 3rd employee and Director of Partnerships, Coursera2017–

Publications (102)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
Understanding Black-box Predictions via Influence Functions
International Conference on Machine Learning · 2017
3,338
cited
WILDS: A Benchmark of in-the-Wild Distribution Shifts
International Conference on Machine Learning · 2020
1,674
cited
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
arXiv.org · 2019
1,471
cited
Mobility network models of COVID-19 explain inequities and inform reopening
Nature · 2020
1,393
cited
Concept Bottleneck Models
International Conference on Machine Learning · 2020
1,089
cited
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Conference on Empirical Methods in Natural Language Processing · 2023
1,043
cited
Certified Defenses for Data Poisoning Attacks
Neural Information Processing Systems · 2017
832
cited
Distributionally Robust Neural Networks
International Conference on Learning Representations · 2020
694
cited
Just Train Twice: Improving Group Robustness without Training Group Information
International Conference on Machine Learning · 2021
649
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
Peer and self assessment in massive online classes
ACM Trans. Comput. Hum. Interact. · 2013
457
cited
On Random Weights and Unsupervised Feature Learning
International Conference on Machine Learning · 2011
452
cited
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
arXiv.org · 2020
424
cited
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
International Conference on Machine Learning · 2020
418
cited
Mapping the Pairwise Choices Leading from Pluripotency to Human Bone, Heart, and Other Mesoderm Cell Types
Cell · 2016
400
cited
Tiled convolutional neural networks
Neural Information Processing Systems · 2010
349
cited
Are aligned neural networks adversarially aligned?
Neural Information Processing Systems · 2023
315
cited
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
International Conference on Machine Learning · 2021
314
cited
Sotabase