David Clifton
9 papers · 2020–2023 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (13) π Renaissance Researcher (10)
πΊοΈ
Taxonomy Completionist
(31)
ποΈ
Keyword Collector
(57)
Conferences
NIPS (4)
ACL (1)
EMNLP (1)
ICML (1)
NAACL (1)
SEMEVAL (1)
Top co-authors
Keywords
contrastive learning
(3)
ordinal regression
(2)
cloze test
(2)
representation learning
(2)
transformer model
(2)
text classification
(1)
reading comprehension
(1)
transfer learning
(1)
expectation maximization
(1)
parameter-efficient fine-tuning
(1)
information retrieval
(1)
natural language understanding
(1)
low-resource learning
(1)
supervised contrastive learning
(1)
disfluency detection
(1)
prompt engineering
(1)
medical text
(1)
variance reduction
(1)
medical image segmentation
(1)
curriculum learning
(1)
Papers
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
NIPS 2023
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints
ACL 2023
Disfluent Cues for Enhanced Speech Understanding in Large Language Models
EMNLP 2023
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
NIPS 2022
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
NIPS 2022
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression
NAACL 2022
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
NIPS 2021
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
ICML 2020