Stephanie Hyland
4 papers · 2022–2023 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Artificial Intelligence
(2)
Machine Learning
(2)
Core AI
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Application Areas
(1)
Architectures
(1)
Domain-Specific
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
causal inference
(1)
domain adaptation
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
medical imaging
(1)
natural language inference
(1)
multimodal learning
(1)
text summarization
(1)
biomedical imaging
(1)
counterfactual prediction
(1)
neural differential equation
(1)
treatment effect
(1)
radiology report
(1)
temporal structure
(1)
report generation
(1)
large language model
(1)
vision-language processing
(1)
multi-image encoder
(1)
Papers
Exploring the Boundaries of GPT-4 in Radiology
EMNLP 2023
Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing
CVPR 2023
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
ECCV 2022
Predicting the impact of treatments over time with uncertainty aware neural differential equations.
AISTATS 2022