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Lei Feng
Lei Feng
Chongqing University / RIKEN Center for Advanced Intelligence Project
Verified email at cqu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Combating noisy labels by agreement: A joint training method with co-regularization
H Wei, L Feng, X Chen, B An
CVPR 2020, 13726-13735, 2020
1602020
Partial label learning with self-guided retraining
L Feng, B An
AAAI 2019, 3542-3549, 2019
752019
Leveraging Latent Label Distributions for Partial Label Learning
L Feng, B An
IJCAI, 2107-2113, 2018
592018
Progressive Identification of True Labels for Partial-Label Learning
J Lv, M Xu, L Feng, G Niu, X Geng, M Sugiyama
ICML 2020, 6500-6510, 2020
552020
Partial Label Learning by Semantic Difference Maximization
L Feng, B An
IJCAI 2019, 2294-2300, 2019
492019
Collaboration based Multi-Label Learning
L Feng, B An, S He
AAAI 2019, 3550-3557, 2019
482019
Can Cross Entropy Loss be Robust to Label Noise?
L Feng, S Shu, Z Lin, F Lv, L Li, B An
IJCAI 2020, 2206-2212, 2020
392020
Learning with Multiple Complementary Labels
L Feng, T Kaneko, B Han, G Niu, B An, M Sugiyama
ICML 2020, 3072-3081, 2020
372020
Provably Consistent Partial-Label Learning
L Feng, J Lv, B Han, M Xu, G Niu, X Geng, B An, M Sugiyama
NeurIPS 2020, 10948-10960, 2020
332020
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
322017
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
L Tao, L Feng, J Yi, S Huang, S Chen
NeurIPS 2021, 16209-16225, 2021
18*2021
Estimating Latent Relative Labeling Importances for Multi-Label Learning
S He, L Feng, L Li
ICDM 2018, 1013-1018, 2018
132018
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
72022
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence
D Wang, L Feng, M Zhang
NeurIPS 2021, 11809-11820, 2021
72021
Pointwise Binary Classification with Pairwise Confidence Comparisons
L Feng, S Shu, N Lu, B Han, M Xu, G Niu, B An, M Sugiyama
ICML 2021, 3252-3262, 2021
72021
Regularized Matrix Factorization for Multilabel Learning With Missing Labels
L Feng, J Huang, S Shu, B An
IEEE Transactions on Cybernetics 52 (5), 3710-3721, 2022
52022
Seminll: A framework of noisy-label learning by semi-supervised learning
Z Wang, J Jiang, B Han, L Feng, B An, G Niu, G Long
arXiv preprint arXiv:2012.00925, 2020
52020
Discovering Latent Class Labels for Multi-Label Learning
J Huang, L Xu, J Wang, L Feng, K Yamanishi
IJCAI 2020, 3058-3064, 2020
42020
With False Friends Like These, Who Can Notice Mistakes?
L Tao, L Feng, J Yi, S Chen
AAAI 2022, 2022
32022
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
Z Lin, L Feng, R Yin, C Xu, CK Kwoh
Information Sciences 580, 1-14, 2021
32021
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Articles 1–20