| Generalizing consistent multi-class classification with rejection to be compatible with arbitrary losses Y Cao, T Cai, L Feng, L Gu, J Gu, B An, G Niu, M Sugiyama Advances in neural information processing systems 35, 521-534, 2022 | 24 | 2022 |
| Learning from similarity-confidence data Y Cao, L Feng, Y Xu, B An, G Niu, M Sugiyama International Conference on Machine Learning, 1272-1282, 2021 | 18 | 2021 |
| Multi-variable estimation-based safe screening rule for small sphere and large margin support vector machine Y Cao, Y Xu, J Du Knowledge-Based Systems 191, 105223, 2020 | 18 | 2020 |
| 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 |
| Consistent complementary-label learning via order-preserving losses S Liu, Y Cao, Q Zhang, L Feng, B An International Conference on Artificial Intelligence and Statistics, 8734-8748, 2023 | 9 | 2023 |
| In defense of softmax parametrization for calibrated and consistent learning to defer Y Cao, H Mozannar, L Feng, H Wei, B An Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Multi-complementary and unlabeled learning for arbitrary losses and models Y Cao, S Liu, Y Xu arXiv preprint arXiv:2001.04243, 2020 | 8 | 2020 |
| On the importance of feature separability in predicting out-of-distribution error R Xie, H Wei, L Feng, Y Cao, B An Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Multi-complementary and unlabeled learning for arbitrary losses and models Y Cao, S Liu, Y Xu Pattern Recognition 124, 108447, 2022 | 5 | 2022 |
| Multi-class classification from single-class data with confidences Y Cao, L Feng, S Shu, Y Xu, B An, G Niu, M Sugiyama arXiv preprint arXiv:2106.08864, 2021 | 4 | 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 | 3 | 2024 |
| Mitigating Underfitting in Learning to Defer with Consistent Losses S Liu, Y Cao, Q Zhang, L Feng, B An International Conference on Artificial Intelligence and Statistics, 4816-4824, 2024 | 2 | 2024 |
| Multiple-instance learning from unlabeled bags with pairwise similarity L Feng, S Shu, Y Cao, L Tao, H Wei, T Xiang, B An, G Niu IEEE Transactions on Knowledge and Data Engineering 35 (11), 11599-11609, 2023 | 2 | 2023 |
| Consistent Hierarchical Classification with A Generalized Metric Y Cao, L Feng, B An International Conference on Artificial Intelligence and Statistics, 4825-4833, 2024 | 1 | 2024 |
| Weakly supervised regression with interval targets X Cheng, Y Cao, X Li, B An, L Feng International Conference on Machine Learning, 5428-5448, 2023 | 1 | 2023 |
| Exploiting Human-AI Dependence for Learning to Defer Z Wei, Y Cao, L Feng Forty-first International Conference on Machine Learning, 0 | | |
| On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks S Zhou, L Tao, Y Cao, T Xiang, B An, L Feng The Twelfth International Conference on Learning Representations, 0 | | |
| Consistent Multi-Class Classification from Multiple Unlabeled Datasets Z Wei, S Shu, Y Cao, H Wei, B An, L Feng The Twelfth International Conference on Learning Representations, 0 | | |
Lei FengSingapore University of Technology and Design在 sutd.edu.sg 的电子邮件经过验证
