David A Clifton
5 papers · 2021–2024 · 3 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
(14)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Healthcare & Medicine
(3)
Clinical
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
cardiac signal
(2)
causal inference
(1)
active learning
(1)
contrastive learning
(1)
semi-supervised learning
(1)
bayesian inference
(1)
self-supervised learning
(1)
deep learning
(1)
bayesian active learning
(1)
observational study
(1)
data heterogeneity
(1)
consistency regularization
(1)
downstream task
(1)
treatment effect estimation
(1)
graph attention network
(1)
temporal graph
(1)
electronic health record
(1)
conditional average treatment effect
(1)
temporal graph attention
(1)
data-view heterogeneity
(1)
Papers
CC-SAM: Enhancing SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation
ECCV 2024
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
AISTATS 2024
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks
AISTATS 2024
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals
ICML 2022
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
ICML 2021