Joseph Paul Cohen
11 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird
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Century Club Β· Bronze
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Research topics
Machine Learning
(7)
Artificial Intelligence
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Computer Vision
(5)
Deep Learning
(5)
Application Areas
(5)
Core AI
(4)
Domain-Specific
(4)
Core Methods
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Optimization & Theory
(2)
Techniques
(2)
Natural Language Processing
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
representation learning
(2)
deep metric learning
(2)
embedding space
(2)
medical imaging
(2)
deep learning
(2)
chest x-ray
(2)
domain adaptation
(1)
image segmentation
(1)
learning theory
(1)
visual similarity
(1)
embedding learning
(1)
image retrieval
(1)
image fusion
(1)
knowledge distillation
(1)
contrastive learning
(1)
medical image classification
(1)
medical image analysis
(1)
data augmentation
(1)
gibbs sampling
(1)
computer vision
(1)
Papers
Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization
Interspeech 2025
TorchXRayVision: A library of chest X-ray datasets and models
MIDL 2022
Benefits of Linear Conditioning for Segmentation using Metadata
MIDL 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
MIDL 2021
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
ICLR 2021
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
ICML 2021
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
ECCV 2020
On the limits of cross-domain generalization in automated X-ray prediction
MIDL 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
MIDL 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
ICML 2020
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
NeurIPS 2017