Combating noisy labels by agreement: A joint training method with co-regularization. H Wei, L Feng, X Chen, B An Computer Vision and Pattern Recognition (CVPR), 13726-13735, 2020 | 506 | 2020 |
Mitigating Neural Network Overconfidence with Logit Normalization H Wei, R Xie, H Cheng, L Feng, B An, Y Li International Conference on Machine Learning (ICML), 2022 | 172 | 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 (NeurIPS), 2021 | 61 | 2021 |
Commission fee is not enough: A hierarchical reinforced framework for portfolio management R Wang, H Wei, B An, Z Feng, J Yao Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 626-633, 2021 | 37* | 2021 |
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 (ICML), 2022 | 23 | 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 |
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 (ICML), 2023 | 17* | 2023 |
Multiple-instance learning from similar and dissimilar bags L Feng, S Shu, Y Cao, L Tao, H Wei, T Xiang, B An, G Niu proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 13 | 2021 |
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection H Zhuang, Z Weng, H Wei, R Xie, KA Toh, Z Lin arXiv preprint arXiv:2205.14922, 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 |
Can Adversarial Training Be Manipulated By Non-Robust Features? L Tao, L Feng, H Wei, J Yi, SJ Huang, S Chen Advances in Neural Information Processing Systems 35, 26504-26518, 2022 | 8 | 2022 |
Metainfonet: Learning task-guided information for sample reweighting H Wei, L Feng, R Wang, B An arXiv preprint arXiv:2012.05273, 2020 | 5 | 2020 |
Embedding-Augmented Generalized Matrix Factorization for Recommendation with Implicit Feedback L Feng, H Wei, Q Guo, Z Lin, B An IEEE Intelligent Systems, 1-1, 2020 | 5* | 2020 |
Conformal Prediction for Deep Classifier via Label Ranking J Huang, H Xi, L Zhang, H Yao, Y Qiu, H Wei arXiv preprint arXiv:2310.06430, 2023 | 4 | 2023 |
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 |
DOS: Diverse outlier sampling for out-of-distribution detection W Jiang, H Cheng, M Chen, C Wang, H Wei arXiv preprint arXiv:2306.02031, 2023 | 4 | 2023 |
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks H Chen, J Wang, A Shah, R Tao, H Wei, X Xie, M Sugiyama, B Raj arXiv preprint arXiv:2309.17002, 2023 | 3 | 2023 |
Counting and mapping of subwavelength nanoparticles from a single shot scattering pattern EA Chan, C Rendón-Barraza, B Wang, T Pu, JY Ou, H Wei, G Adamo, ... Nanophotonics 12 (14), 2807-2812, 2023 | 3 | 2023 |
Alleviating noisy-label effects in image classification via probability transition matrix Z Zhang, Y Li, H Wei, K Ma, T Xu, Y Zheng arXiv preprint arXiv:2110.08866, 2021 | 3 | 2021 |
Regression with Cost-based Rejection X Cheng, Y Cao, H Wang, H Wei, B An, L Feng Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |