Dayou Yu
6 papers · 2021–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(14)
🏆
Keyword Champion
Venues
Top co-authors
Research topics
Keywords
active learning
(5)
label correlation
(2)
bayesian inference
(1)
multi-label learning
(1)
uncertainty quantification
(1)
model evaluation
(1)
multi-label classification
(1)
gaussian process
(1)
feature similarity
(1)
multi-class classification
(1)
subset selection
(1)
label efficiency
(1)
support vector machine
(1)
mixture model
(1)
annotation cost
(1)
evidential learning
(1)
noisy annotation
(1)
generalization risk
(1)
label-efficient learning
(1)
active testing
(1)
Papers
Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection
ICML 2024
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity
NeurIPS 2024
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice
NeurIPS 2023
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
ICML 2023
STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations
AAAI 2023
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning
NeurIPS 2021