| Mitigating neural network overconfidence with logit normalization H Wei, R Xie, H Cheng, L Feng, B An, Y Li International conference on machine learning, 23631-23644, 2022 | 164 | 2022 |
| Open-set label noise can improve robustness against inherent label noise H Wei, L Tao, R Xie, B An Advances in Neural Information Processing Systems 34, 7978-7992, 2021 | 61 | 2021 |
| ATL: Autonomous knowledge transfer from many streaming processes M Pratama, M de Carvalho, R Xie, E Lughofer, J Lu Proceedings of the 28th ACM international conference on information and …, 2019 | 24 | 2019 |
| Open-sampling: Exploring out-of-distribution data for re-balancing long-tailed datasets H Wei, L Tao, R Xie, L Feng, B An International Conference on Machine Learning, 23615-23630, 2022 | 21 | 2022 |
| Deep learning from multiple noisy annotators as a union H Wei, R Xie, L Feng, B Han, B An IEEE transactions on neural networks and learning systems, 2022 | 18 | 2022 |
| Automatic online multi-source domain adaptation X Renchunzi, M Pratama Information Sciences 582, 480-494, 2022 | 14 | 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 International Conference on Machine Learning, 36868-36886, 2023 | 9 | 2023 |
| ACIL: Analytic class-incremental learning with absolute memorization and privacy protection H Zhuang, Z Weng, H Wei, R Xie, KA Toh, Z Lin Advances in Neural Information Processing Systems 35, 11602-11614, 2022 | 9 | 2022 |
| GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation R Xie, H Wei, L Feng, B An Proceedings of the AAAI conference on artificial intelligence, 2022 | 9 | 2022 |
| Logit clipping for robust learning against label noise H Wei, H Zhuang, R Xie, L Feng, G Niu, B An, Y Li | 7 | 2022 |
| On the Importance of Feature Separability in Predicting Out-Of-Distribution Error R Xie, H Wei, Y Cao, L Feng, B An Advances in Neural Information Processing Systems (NeurIPS), 2023 | 4 | 2023 |
| Open-sampling: Re-balancing Long-tailed Datasets with Out-of-Distribution Data H Wei, L Tao, R XIE, L Feng, B An | 1 | 2021 |
| Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift R Xie, A Odonnat, V Feofanov, I Redko, J Zhang, B An arXiv preprint arXiv:2401.08909, 2024 | | 2024 |
