Sotabase

Career

· Associate Professor of Biomedical Data Science, Stanford University2016–
· Simons Fellow, UC Berkeley2016–
· PhD Student, Harvard University2014–
· Postdoctoral Researcher, Microsoft Research2014–
· Gates Scholar, University of Cambridge2014–

Publications (359)

Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Neural Information Processing Systems · 2016
3,535
cited
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
arXiv.org · 2022
2,201
cited
Word embeddings quantify 100 years of gender and ethnic stereotypes
Proceedings of the National Academy of Sciences of the United States of America · 2017
1,039
cited
Data Shapley: Equitable Valuation of Data for Machine Learning
International Conference on Machine Learning · 2019
986
cited
Interpretation of Neural Networks is Fragile
AAAI Conference on Artificial Intelligence · 2017
952
cited
A single-cell transcriptomic atlas characterizes ageing tissues in the mouse
Nature · 2020
917
cited
MOPO: Model-based Offline Policy Optimization
Neural Information Processing Systems · 2020
872
cited
Towards Automatic Concept-based Explanations
Neural Information Processing Systems · 2019
762
cited
Persistent Anti-Muslim Bias in Large Language Models
AAAI/ACM Conference on AI, Ethics, and Society · 2021
654
cited
Making AI Forget You: Data Deletion in Machine Learning
Neural Information Processing Systems · 2019
616
cited
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
Neural Information Processing Systems · 2022
612
cited
How is ChatGPT's behavior changing over time?
Special Issue 5: Grappling With the Generative AI Revolution · 2023
551
cited
When and why vision-language models behave like bags-of-words, and what to do about it?
International Conference on Learning Representations · 2022
538
cited
Aging hallmarks exhibit organ-specific temporal signatures
Nature · 2020
494
cited
Advances, challenges and opportunities in creating data for trustworthy AI
Nature Machine Intelligence · 2022
454
cited
Sex and gender analysis improves science and engineering
Nature · 2019
448
cited
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
Conference on Fairness, Accountability and Transparency · 2022
436
cited
GPT detectors are biased against non-native English writers
Patterns · 2023
421
cited
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Trans. Mach. Learn. Res. · 2023
419
cited
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification
AAAI/ACM Conference on AI, Ethics, and Society · 2018
372
cited
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