Renchunzi Xie
Renchunzi Xie
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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
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
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
Automatic online multi-source domain adaptation
X Renchunzi, M Pratama
Information Sciences 582, 480-494, 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
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
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
Open-sampling: Re-balancing Long-tailed Datasets with Out-of-Distribution Data
H Wei, L Tao, R XIE, L Feng, B An
Logit Clipping for Robust Learning against Label Noise
H Wei, H Zhuang, R Xie, L Feng, G Niu, B An, Y Li
arXiv preprint arXiv:2212.04055, 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
H Zhuang, Z Weng, R Xie, KA Toh, Z Lin
arXiv preprint arXiv:2205.14922, 2022
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