Jason Fries
7 papers · 2016–2023 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
π§
Keyword Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Application Areas
(5)
Artificial Intelligence
(4)
Learning Paradigms
(4)
Healthcare & Medicine
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Clinical
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Resources & Methods
(2)
Applications
(1)
Learning Types Β· Machine Learning
(1)
Research
(1)
Keywords
few-shot learning
(3)
electronic health record
(3)
zero-shot learning
(2)
medical imaging
(1)
named entity recognition
(1)
language modeling
(1)
multimodal learning
(1)
model pretraining
(1)
weak supervision
(1)
clinical prediction
(1)
instruction tuning
(1)
sequential data
(1)
foundation model
(1)
zero-shot evaluation
(1)
task adaptation
(1)
clinical note
(1)
dataset curation
(1)
probabilistic label
(1)
biomedical natural language processing
(1)
label estimation
(1)
Papers
Efficient Diagnosis Assignment Using Unstructured Clinical Notes
ACL 2023
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
NeurIPS 2023
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms
NeurIPS 2023
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing
NeurIPS 2022
Dataset Debt in Biomedical Language Modeling
ACL 2022
Multi-Resolution Weak Supervision for Sequential Data
NeurIPS 2019
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction
SemEval 2016