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Deng-Bao Wang
Deng-Bao Wang
Ph.D. Student, Southeast University.
Подтвержден адрес электронной почты в домене seu.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
Adaptive graph guided disambiguation for partial label learning
DB Wang, ML Zhang, L Li
IEEE TPAMI, 2022
1182022
Rethinking Calibration of Deep Neural Networks: Don't Be Afraid of Overconfidence
DB Wang, L Feng, ML Zhang
NeurIPS, 2021
1012021
Multi-View Multi-Label Learning with View-Specific Information Extraction.
X Wu, QG Chen, Y Hu, D Wang, X Chang, X Wang, ML Zhang
IJCAI, 2019
742019
Revisiting Consistency Regularization for Deep Partial Label Learning
DD Wu, DB Wang, ML Zhang
ICML, 2022
522022
Learning from Noisy Labels with Complementary Loss Functions
DB Wang, Y Wen, L Pan, ML Zhang
AAAI, 2021
282021
Learning from Complementary Labels via Partial-Output Consistency Regularization
DB Wang, L Feng, ML Zhang
IJCAI, 2021
102021
On the Pitfall of Mixup for Uncertainty Calibration
DB Wang, L Li, P Zhao, PA Heng, ML Zhang
CVPR, 2023
52023
Learning from Noisy Labels via Dynamic Loss Thresholding
H Yang, Y Jin, Z Li, DB Wang, L Miao, X Geng, ML Zhang
IEEE TKDE, 2023
52023
Dimensionality Reduction for Partial Label Learning: A Unified and Adaptive Approach
XR Yu, DB Wang, ML Zhang
IEEE TKDE, 2024
12024
Multiple-Instance Learning from Triplet Comparison Bags
S Shu, DB Wang, S Yuan, H Wei, J Jiang, L Feng, ML Zhang
ACM TKDD, 2024
12024
Partial-Label Regression
X Cheng, DB Wang, L Feng, ML Zhang, B An
AAAI, 2023
12023
Partial Label Learning with Emerging New Labels
XR Yu, DB Wang, ML Zhang
Machine Learning, 1-17, 2022
12022
Calibration Bottleneck: Over-compressed Representations are Less Calibratable
DB Wang, ML Zhang
ICML, 2024
2024
Student Loss: Towards the Probability Assumption in Inaccurate Supervision
S Zhang, JQ Li, H Fujita, YW Li, DB Wang, TT Zhu, ML Zhang, CY Liu
IEEE TPAMI, 2024
2024
Distilling Reliable Knowledge for Instance-dependent Partial Label Learning
DD Wu, DB Wang, ML Zhang
AAAI, 2024
2024
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