Renchunzi Xie

23 papers A* 8A 1Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift.
Trans. Mach. Learn. Res.
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
2024 J jnl
Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift.
CoRR
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
2024 J jnl
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts.
CoRR
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
2024 A* conf
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts.
NeurIPS
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
2023 J jnl
Deep Learning From Multiple Noisy Annotators as A Union.
IEEE Trans. Neural Networks Learn. Syst.
Hongxin Wei, Renchunzi Xie, Lei Feng, Bo Han, Bo An
2023 A* conf
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction.
ICML
Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
2023 A* conf
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error.
NeurIPS
Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An
2023 J jnl
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error.
CoRR
Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng, Bo An
2022 A* conf
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection.
NeurIPS
Huiping Zhuang, Zhenyu Weng, Hongxin Wei, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin
2022 J jnl
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection.
CoRR
Huiping Zhuang, Zhenyu Weng, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin
2022 J jnl
Automatic online multi-source domain adaptation.
Inf. Sci.
Renchunzi Xie, Mahardhika Pratama
2022 A* conf
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation.
AAAI
Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
2022 J jnl
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation.
CoRR
Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
2022 J jnl
Logit Clipping for Robust Learning against Label Noise.
CoRR
Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
2022 A* conf
Mitigating Neural Network Overconfidence with Logit Normalization.
ICML
Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
2022 J jnl
Mitigating Neural Network Overconfidence with Logit Normalization.
CoRR
Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
2022 A* conf
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets.
ICML
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
2022 J jnl
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets.
CoRR
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
2021 J jnl
Automatic Online Multi-Source Domain Adaptation.
CoRR
Renchunzi Xie, Mahardhika Pratama
2021 A* conf
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise.
NeurIPS
Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
2021 J jnl
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise.
CoRR
Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
2019 A conf
ATL: Autonomous Knowledge Transfer from Many Streaming Processes.
CIKM
Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu
2019 J jnl
ATL: Autonomous Knowledge Transfer from Many Streaming Processes.
CoRR
Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu