David Clifton
8 papers · 2020–2023 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Silver
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Interdisciplinary Bridge ยท Gold
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Taxonomy Completionist
(29)
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Renaissance Researcher
(8)
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Keyword Collector
(54)
Top co-authors
Research topics
Machine Learning
(7)
Learning Types ยท Machine Learning
(5)
Core Methods
(4)
Artificial Intelligence
(3)
Healthcare & Medicine
(3)
Natural Language Processing
(3)
Clinical
(3)
Core AI
(3)
Deep Learning
(2)
Learning Types ยท Deep Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Interdisciplinary
(1)
Reinforcement Learning
(1)
Speech & Audio
(1)
Keywords
contrastive learning
(3)
representation learning
(2)
transfer learning
(1)
ordinal regression
(1)
reading comprehension
(1)
text classification
(1)
prompt engineering
(1)
medical image segmentation
(1)
information retrieval
(1)
expectation maximization
(1)
curriculum learning
(1)
natural language understanding
(1)
low-resource learning
(1)
supervised contrastive learning
(1)
multi-task learning
(1)
medical text
(1)
disfluency detection
(1)
variance reduction
(1)
parameter-efficient fine-tuning
(1)
semi-supervised learning
(1)
Papers
Disfluent Cues for Enhanced Speech Understanding in Large Language Models
EMNLP 2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
NeurIPS 2023
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints
ACL 2023
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
NeurIPS 2022
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression
SemEval 2022
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions
NeurIPS 2022
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
NeurIPS 2021
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
ICML 2020