Lei Feng
Zitiert von
Zitiert von
Combating noisy labels by agreement: A joint training method with co-regularization
H Wei, L Feng, X Chen, B An
CVPR 2020, 2020
Mitigating Neural Network Overconfidence with Logit Normalization
H Wei, R Xie, H Cheng, L Feng, B An, S Li
ICML 2022, 2022
Progressive Identification of True Labels for Partial-Label Learning
J Lv, M Xu, L Feng, G Niu, X Geng, M Sugiyama
ICML 2020, 2020
Can Cross Entropy Loss Be Robust to Label Noise?
L Feng, S Shu, Z Lin, F Lv, L Li, B An
IJCAI 2020, 2020
Provably Consistent Partial-Label Learning
L Feng, J Lv, B Han, M Xu, G Niu, X Geng, B An, M Sugiyama
NeurIPS 2020, 2020
PiCO: Contrastive Label Disambiguation for Partial Label Learning
H Wang, R Xiao, Y Li, L Feng, G Niu, G Chen, J Zhao
ICLR 2022, 2022
Partial Label Learning with Self-Guided Retraining
L Feng, B An
AAAI 2019, 2019
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence
D Wang, L Feng, M Zhang
NeurIPS 2021, 2021
Leveraging Latent Label Distributions for Partial Label Learning
L Feng, B An
IJCAI 2018, 2018
Learning with Multiple Complementary Labels
L Feng, T Kaneko, B Han, G Niu, B An, M Sugiyama
ICML 2020, 2020
Partial Label Learning by Semantic Difference Maximization
L Feng, B An
IJCAI 2019, 2019
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
L Tao, L Feng, J Yi, S Huang, S Chen
NeurIPS 2021, 2021
Collaboration based Multi-Label Learning
L Feng, B An, S He
AAAI 2019, 2019
A Driving Behavior Detection System based on a Smartphone's Built‐in Sensor
Y Li, F Xue, L Feng, Z Qu
International Journal of Communication Systems 30 (8), 1-13, 2017
Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion
T Liang, G Lin, L Feng, Y Zhang, F Lv
ICCV 2021, 2021
Exploiting Class Activation Value for Partial-Label Learning
F Zhang, L Feng, B Han, T Liu, G Niu, T Qin, M Sugiyama
ICLR 2022, 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
R Xiao, Y Dong, H Wang, L Feng, R Wu, G Chen, J Zhao
IJCAI 2023, 2023
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
H Wang, M Xia, Y Li, Y Mao, L Feng, G Chen, J Zhao
NeurIPS 2022, 2022
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
H Wei, L Tao, R Xie, L Feng, B An
ICML 2022, 2022
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning?
C Li, X Li, L Feng, J Ouyang
ICLR 2022, 2022
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