Yuzhou Cao
12 papers · 2021–2024 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (15) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
π€
Dynamic Duo
(12)
π
Century Club
(12)
β‘
Prolific Year
(5)
Conferences
NIPS (4)
AISTATS (3)
ICML (3)
ICLR (2)
Top co-authors
Keywords
weakly supervised learning
(3)
surrogate loss
(3)
risk estimation
(2)
regret transfer
(2)
statistical consistency
(2)
bayes optimal solution
(2)
loss function
(2)
binary classification
(2)
regret bound
(2)
learning to defer
(2)
out-of-distribution detection
(1)
expert consultation
(1)
domain shift
(1)
unlabeled datum
(1)
complementary label learning
(1)
consistent loss
(1)
classifier deferral
(1)
underfitting mitigation
(1)
tree distance loss
(1)
learning consistency
(1)
Papers
Exploiting Human-AI Dependence for Learning to Defer
ICML 2024
Mitigating Underfitting in Learning to Defer with Consistent Losses
AISTATS 2024
Consistent Hierarchical Classification with A Generalized Metric
AISTATS 2024
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks
ICLR 2024
Consistent Multi-Class Classification from Multiple Unlabeled Datasets
ICLR 2024
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
NIPS 2023
Regression with Cost-based Rejection
NIPS 2023
Consistent Complementary-Label Learning via Order-Preserving Losses
AISTATS 2023
Weakly Supervised Regression with Interval Targets
ICML 2023
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer
NIPS 2023
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses
NIPS 2022
Learning from Similarity-Confidence Data
ICML 2021