Marcel Worring
17 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (37) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Keyword Champion
(3)
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Keyword Collector
(81)
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Century Club · Bronze
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Unstoppable · Bronze
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Prolific Year · Productive
Top co-authors
Research topics
Deep Learning
(12)
Artificial Intelligence
(11)
Machine Learning
(11)
Core AI
(8)
Core Methods
(6)
Learning Types · Machine Learning
(5)
Models
(5)
Architectures
(4)
Learning Paradigms
(4)
Natural Language Processing
(3)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Applications
(2)
Domain-Specific
(2)
Keywords
multi-task learning
(5)
variational inference
(3)
medical report generation
(3)
medical imaging
(2)
knowledge distillation
(2)
vision-language model
(2)
few-shot learning
(2)
image captioning
(2)
retinal imaging
(2)
model distillation
(1)
knowledge transfer
(1)
attention mechanism
(1)
probabilistic modeling
(1)
image classification
(1)
factuality evaluation
(1)
visual question answering
(1)
document summarization
(1)
question answering
(1)
robustness
(1)
data augmentation
(1)
Papers
Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction
AAAI 2026
TULIP: Token-length Upgraded CLIP
ICLR 2025
GO4Align: Group Optimization for Multi-Task Alignment
NeurIPS 2024
Style Randomization Improves the Robustness of Breast Density Estimation in MR Images
MIDL 2024
Episodic Multi-Task Learning with Heterogeneous Neural Processes
NeurIPS 2023
Expert-Defined Keywords Improve Interpretability of Retinal Image Captioning
WACV 2023
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning
ICLR 2023
NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization
ACL 2023
Probabilistic Integration of Object Level Annotations in Chest X-Ray Classification
WACV 2023
Association Graph Learning for Multi-Task Classification with Category Shifts
NeurIPS 2022
Learning to Automatically Generate Accurate ECG Captions
MIDL 2022
Non-Local Attention Improves Description Generation for Retinal Images
WACV 2022
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
WACV 2021
NLQuAD: A Non-Factoid Long Question Answering Data Set
EACL 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors
NeurIPS 2021
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification
MIDL 2020
Many Task Learning With Task Routing
ICCV 2019