Deng-Bao Wang
9 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird
π
Cross-Pollinator
(9)
π
Keyword Champion
(2)
π±
Topic Pioneer
π₯
Unstoppable
(5)
Conferences
AAAI (3)
ICML (2)
IJCAI (2)
CVPR (1)
NIPS (1)
Top co-authors
Keywords
partial label learning
(3)
consistency regularization
(2)
weakly supervised learning
(2)
post-hoc calibration
(2)
noisy label learning
(1)
label noise
(1)
conformal prediction
(1)
deep learning
(1)
model calibration
(1)
label disambiguation
(1)
label smoothing
(1)
feature embedding
(1)
dependence maximization
(1)
multi-class classification
(1)
alternating optimization
(1)
knowledge distillation
(1)
deep neural network
(1)
loss function
(1)
uncertainty quantification
(1)
representation learning
(1)
Papers
Wrapped Partial Label Dimensionality Reduction via Dependence Maximization
IJCAI 2025
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning
AAAI 2024
Calibration Bottleneck: Over-compressed Representations are Less Calibratable
ICML 2024
On the Pitfall of Mixup for Uncertainty Calibration
CVPR 2023
Partial-Label Regression
AAAI 2023
Revisiting Consistency Regularization for Deep Partial Label Learning
ICML 2022
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence
NIPS 2021
Learning from Complementary Labels via Partial-Output Consistency Regularization
IJCAI 2021
Learning from Noisy Labels with Complementary Loss Functions
AAAI 2021