Eva L. Dyer
5 papers · 2013–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Half
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory · Machine Learning
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Optimization
(2)
Healthcare & Medicine
(1)
Clinical
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
self-supervised learning
(2)
representation learning
(2)
sparse recovery
(1)
contrastive learning
(1)
domain generalization
(1)
hyperparameter optimization
(1)
optimal transport
(1)
medical imaging
(1)
data augmentation
(1)
ridge regression
(1)
global optimization
(1)
spectral regularization
(1)
distribution shift
(1)
bayesian optimization
(1)
distribution alignment
(1)
overparameterized model
(1)
linear model
(1)
noise contrastive estimation
(1)
switching cost
(1)
long-tail recognition
(1)
Papers
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
WACV 2024
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
JMLR 2024
Your contrastive learning problem is secretly a distribution alignment problem
NeurIPS 2024
Bayesian optimization for modular black-box systems with switching costs
UAI 2021
Greedy Feature Selection for Subspace Clustering
JMLR 2013