Renchunzi Xie

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Incremental Learning

Weakly Supervised

Domain Adaptation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift. CoRR (2024)
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. CoRR (2024)
Hongxin Wei, Renchunzi Xie, Lei Feng, Bo Han, Bo An
Deep Learning From Multiple Noisy Annotators as A Union. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng, Bo An
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. CoRR (2023)
Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. NeurIPS (2023)
Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction. ICML (2023)
Huiping Zhuang, Zhenyu Weng, Hongxin Wei, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection. NeurIPS (2022)
Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. AAAI (2022)
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. CoRR (2022)
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. ICML (2022)
Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
Logit Clipping for Robust Learning against Label Noise. CoRR (2022)
Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
Mitigating Neural Network Overconfidence with Logit Normalization. ICML (2022)
Huiping Zhuang, Zhenyu Weng, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection. CoRR (2022)
Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. CoRR (2022)
Renchunzi Xie, Mahardhika Pratama
Automatic online multi-source domain adaptation. Inf. Sci. 582 (2022)
Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
Mitigating Neural Network Overconfidence with Logit Normalization. CoRR (2022)
Renchunzi Xie, Mahardhika Pratama
Automatic Online Multi-Source Domain Adaptation. CoRR (2021)
Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. CoRR (2021)
Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. NeurIPS (2021)
Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. CIKM (2019)
Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. CoRR (2019)