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Renchunzi Xie
Renchunzi Xie
Подтвержден адрес электронной почты в домене e.ntu.edu.sg
Название
Процитировано
Процитировано
Год
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
1772022
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
622021
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
262019
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
222022
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
192022
Automatic online multi-source domain adaptation
X Renchunzi, M Pratama
Information Sciences 582, 480-494, 2022
152022
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
132023
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
92022
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
92022
Logit clipping for robust learning against label noise
H Wei, H Zhuang, R Xie, L Feng, G Niu, B An, Y Li
72022
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
42023
Open-sampling: Re-balancing Long-tailed Datasets with Out-of-Distribution Data
H Wei, L Tao, R XIE, L Feng, B An
12021
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
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