Renchunzi Xie

According to our database, Renchunzi Xie authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift.

Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An

CoRR, 2024

MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts.

Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Deep Learning From Multiple Noisy Annotators as A Union.

Hongxin Wei, Renchunzi Xie, Lei Feng, Bo Han, Bo An

IEEE Trans. Neural Networks Learn. Syst., December, 2023

On the Importance of Feature Separability in Predicting Out-Of-Distribution Error.

Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mitigating Memorization of Noisy Labels by Clipping the Model Prediction.

Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li

Proceedings of the International Conference on Machine Learning, 2023

2022

Automatic online multi-source domain adaptation.

Renchunzi Xie, Mahardhika Pratama

Inf. Sci., 2022

Logit Clipping for Robust Learning against Label Noise.

Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li

CoRR, 2022

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection.

Huiping Zhuang, Zhenyu Weng, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin

CoRR, 2022

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection.

Huiping Zhuang, Zhenyu Weng, Hongxin Wei, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mitigating Neural Network Overconfidence with Logit Normalization.

Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li

Proceedings of the International Conference on Machine Learning, 2022

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets.

Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An

Proceedings of the International Conference on Machine Learning, 2022

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation.

Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise.

Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

ATL: Autonomous Knowledge Transfer from Many Streaming Processes.

Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019