Segui
Deng-Bao Wang
Titolo
Citata da
Citata da
Anno
Adaptive graph guided disambiguation for partial label learning
DB Wang, ML Zhang, L Li
IEEE TPAMI, 2022
1472022
Rethinking Calibration of Deep Neural Networks: Don't Be Afraid of Overconfidence
DB Wang, L Feng, ML Zhang
NeurIPS, 2021
1302021
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
872019
Revisiting Consistency Regularization for Deep Partial Label Learning
DD Wu, DB Wang, ML Zhang
ICML, 2022
762022
Learning from Noisy Labels with Complementary Loss Functions
DB Wang, Y Wen, L Pan, ML Zhang
AAAI, 2021
412021
Learning from Complementary Labels via Partial-Output Consistency Regularization
DB Wang, L Feng, ML Zhang
IJCAI, 2021
152021
On the Pitfall of Mixup for Uncertainty Calibration
DB Wang, L Li, P Zhao, PA Heng, ML Zhang
CVPR, 2023
92023
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
72023
Partial Label Learning with Emerging New Labels
XR Yu, DB Wang, ML Zhang
Machine Learning, 1-17, 2022
62022
Dimensionality Reduction for Partial Label Learning: A Unified and Adaptive Approach
XR Yu, DB Wang, ML Zhang
IEEE TKDE, 2024
42024
Distilling Reliable Knowledge for Instance-dependent Partial Label Learning
DD Wu, DB Wang, ML Zhang
AAAI, 2024
32024
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
22024
Multiple-Instance Learning from Triplet Comparison Bags
S Shu, DB Wang, S Yuan, H Wei, J Jiang, L Feng, ML Zhang
ACM TKDD, 2024
22024
Partial-Label Regression
X Cheng, DB Wang, L Feng, ML Zhang, B An
AAAI, 2023
22023
Calibration Bottleneck: Over-compressed Representations are Less Calibratable
DB Wang, ML Zhang
ICML, 2024
2024
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