Yuzhou Cao
12 papers · 2021–2024 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π€ Dynamic Duo (12) β‘ Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(50)
Venues
Top co-authors
Research topics
Keywords
weakly supervised learning
(4)
surrogate loss
(3)
learning to defer
(3)
binary classification
(2)
regret transfer
(2)
regret bound
(2)
unlabeled data
(2)
risk estimation
(2)
statistical consistency
(2)
multi-class classification
(2)
loss function
(2)
bayes optimal solution
(2)
classification with rejection
(1)
hierarchical classification
(1)
distribution shift
(1)
importance weighting
(1)
metric learning
(1)
empirical risk minimization
(1)
adversarial attack
(1)
adversarial training
(1)
Papers
Consistent Hierarchical Classification with A Generalized Metric
AISTATS 2024
Consistent Multi-Class Classification from Multiple Unlabeled Datasets
ICLR 2024
Exploiting Human-AI Dependence for Learning to Defer
ICML 2024
Mitigating Underfitting in Learning to Defer with Consistent Losses
AISTATS 2024
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks
ICLR 2024
Consistent Complementary-Label Learning via Order-Preserving Losses
AISTATS 2023
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer
NeurIPS 2023
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
NeurIPS 2023
Regression with Cost-based Rejection
NeurIPS 2023
Weakly Supervised Regression with Interval Targets
ICML 2023
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses
NeurIPS 2022
Learning from Similarity-Confidence Data
ICML 2021