Joseph Paul Cohen
10 papers · 2017–2022 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (5) π Cross-Pollinator (12)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(21)
π
Century Club
(10)
Conferences
MIDL (5)
ICML (2)
ECCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
deep learning
(2)
deep metric learning
(2)
representation learning
(2)
medical imaging
(2)
embedding space
(2)
chest x-ray
(2)
computer vision
(1)
image segmentation
(1)
learning theory
(1)
embedding learning
(1)
visual similarity
(1)
image fusion
(1)
knowledge distillation
(1)
data augmentation
(1)
contrastive learning
(1)
gibbs sampling
(1)
medical image classification
(1)
medical image analysis
(1)
model agreement
(1)
image retrieval
(1)
Papers
TorchXRayVision: A library of chest X-ray datasets and models
MIDL 2022
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
ICLR 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
MIDL 2021
Benefits of Linear Conditioning for Segmentation using Metadata
MIDL 2021
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
ICML 2021
On the limits of cross-domain generalization in automated X-ray prediction
MIDL 2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
ECCV 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
ICML 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
MIDL 2020
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
NIPS 2017