Sotabase

Career

· Researcher And Chief Ethics Scientist, Hugging Face2021–
· Researcher, Self-employed (Current)2021–
· Staff Research Scientist, Google2020–2021
· Senior Research Scientist, Google2016–2020
· Researcher, Microsoft2013–2016
· Postdoctoral Researcher, Johns Hopkins University2012–2013
· PhD Student, University of Aberdeen2009–2012
· Research Associate, CSLU2008–2009
· Speech Synthesis Specialist, Microsoft2008–2008
· Computational Linguistics Computational Linguistics, University of Washington2007–2008
· Research Assistant, CSLU2005–2007

Publications (171)

VQA: Visual Question Answering
International Journal of Computer Vision · 2015
6,144
cited
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
arXiv.org · 2022
2,792
cited
Model Cards for Model Reporting
FAT · 2018
2,353
cited
Mitigating Unwanted Biases with Adversarial Learning
AAAI/ACM Conference on AI, Ethics, and Society · 2018
1,578
cited
From captions to visual concepts and back
Computer Vision and Pattern Recognition · 2014
1,346
cited
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
North American Chapter of the Association for Computational Linguistics · 2015
913
cited
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
Conference on Empirical Methods in Natural Language Processing · 2021
582
cited
Visual Storytelling
North American Chapter of the Association for Computational Linguistics · 2016
528
cited
Midge: Generating Image Descriptions From Computer Vision Detections
Conference of the European Chapter of the Association for Computational Linguistics · 2012
490
cited
The Stack: 3 TB of permissively licensed source code
Trans. Mach. Learn. Res. · 2022
420
cited
50 Years of Test (Un)fairness: Lessons for Machine Learning
FAT · 2018
384
cited
Spoken Language Derived Measures for Detecting Mild Cognitive Impairment
IEEE Transactions on Audio, Speech, and Language Processing · 2011
343
cited
Shared Task : Depression and PTSD on Twitter
2015
328
cited
Stable Bias: Evaluating Societal Representations in Diffusion Models
Neural Information Processing Systems · 2023
308
cited
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Conference on Fairness, Accountability and Transparency · 2020
299
cited
Language Models for Image Captioning: The Quirks and What Works
Annual Meeting of the Association for Computational Linguistics · 2015
291
cited
Open Domain Targeted Sentiment
Conference on Empirical Methods in Natural Language Processing · 2013
241
cited
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels
Computer Vision and Pattern Recognition · 2015
229
cited
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
Neural Information Processing Systems · 2023
201
cited
Exploring Nearest Neighbor Approaches for Image Captioning
arXiv.org · 2015
199
cited
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