Sotabase

Career

· Research Scientist, DeepMind2019–
· AI Research Intern, Facebook2018–2018
· Research Intern, Adobe2017–2017
· Research Intern, Adobe2016–2016
· Engineering Intern, Google2013–2013
· Graduate Researcher, UC Berkeley2013–2019
· Hardware Engineering Intern, Google2012–2012
· Research Intern, Rice University2012–2013
· Research Intern, Rice University2011–2012
· NNIN REU Intern, University of Michigan2011–2011
· Undergraduate Intern, Los Alamos National Laboratory2010–2010
· BSEE, summa cum laude, Electrical and Electronics Engineering, Rice University2009–2013

Publications (61)

Long-term recurrent convolutional networks for visual recognition and description
Computer Vision and Pattern Recognition · 2014
6,307
cited
Training Compute-Optimal Large Language Models
arXiv.org · 2022
2,741
cited
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
arXiv.org · 2021
1,531
cited
Ethical and social risks of harm from Language Models
arXiv.org · 2021
1,335
cited
Localizing Moments in Video with Natural Language
IEEE International Conference on Computer Vision · 2017
1,117
cited
Taxonomy of Risks posed by Language Models
Conference on Fairness, Accountability and Transparency · 2022
804
cited
Generating Visual Explanations
European Conference on Computer Vision · 2016
647
cited
Improving alignment of dialogue agents via targeted human judgements
arXiv.org · 2022
638
cited
Object Hallucination in Image Captioning
Conference on Empirical Methods in Natural Language Processing · 2018
617
cited
Women also Snowboard: Overcoming Bias in Captioning Models
European Conference on Computer Vision · 2018
503
cited
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
456
cited
An empirical analysis of compute-optimal large language model training
Neural Information Processing Systems · 2022
423
cited
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images
IEEE International Conference on Computer Vision · 2017
405
cited
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
Computer Vision and Pattern Recognition · 2015
290
cited
Deep learning for tactile understanding from visual and haptic data
IEEE International Conference on Robotics and Automation · 2015
256
cited
Grounding Visual Explanations
European Conference on Computer Vision · 2018
236
cited
Challenges in Detoxifying Language Models
Conference on Empirical Methods in Natural Language Processing · 2021
228
cited
Captioning Images with Diverse Objects
Computer Vision and Pattern Recognition · 2016
185
cited
Localizing Moments in Video with Temporal Language
Conference on Empirical Methods in Natural Language Processing · 2018
171
cited
Probing Image-Language Transformers for Verb Understanding
Findings · 2021
134
cited
Sotabase
Lisa Anne Hendricks | Researcher Profile | Sotabase | Sotabase