| Combating noisy labels by agreement: A joint training method with co-regularization H Wei, L Feng, X Chen, B An CVPR 2020, 2020 | 830 | 2020 |
| Mitigating Neural Network Overconfidence with Logit Normalization H Wei, R Xie, H Cheng, L Feng, B An, S Li ICML 2022, 2022 | 476 | 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 | 264 | 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 | 230 | 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 | 219 | 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 | 216 | 2022 |
| Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence D Wang, L Feng, M Zhang NeurIPS 2021, 2021 | 195 | 2021 |
| Partial Label Learning with Self-Guided Retraining L Feng, B An AAAI 2019, 2019 | 167 | 2019 |
| Learning with Multiple Complementary Labels L Feng, T Kaneko, B Han, G Niu, B An, M Sugiyama ICML 2020, 2020 | 142 | 2020 |
| Leveraging Latent Label Distributions for Partial Label Learning L Feng, B An IJCAI 2018, 2018 | 120 | 2018 |
| Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training L Tao, L Feng, J Yi, S Huang, S Chen NeurIPS 2021, 2021 | 109 | 2021 |
| 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 | 106 | 2021 |
| 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 | 96 | 2023 |
| Partial Label Learning by Semantic Difference Maximization L Feng, B An IJCAI 2019, 2019 | 88 | 2019 |
| Collaboration based Multi-Label Learning L Feng, B An, S He AAAI 2019, 2019 | 81 | 2019 |
| Fine-Grained Classification with Noisy Labels Q Wei, L Feng, H Sun, R Wang, C Guo, Y Yin CVPR 2023, 2023 | 70 | 2023 |
| 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 | 70 | 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 | 62 | 2022 |
| 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 | 55 | 2022 |
| Mitigating Memorization of Noisy Labels by Clipping the Model Prediction H Wei, H Zhuang, R Xie, L Feng, G Niu, B An, Y Li ICML 2023, 2023 | 54* | 2023 |
Bo AnNanyang Technological UniversityVerified email at ntu.edu.sg
