Xie, Renchunzi

9 publications

TMLR 2025 Leveraging Gradients for Unsupervised Accuracy Estimation Under Distribution Shift Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An

NeurIPS 2024 MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An

ICML 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

NeurIPS 2023 On the Importance of Feature Separability in Predicting Out-of-Distribution Error Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An

NeurIPS 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

AAAI 2022 GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An

ICML 2022 Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li

ICML 2022 Open-Sampling: Exploring Out-of-Distribution Data for Re-Balancing Long-Tailed Datasets Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An

NeurIPS 2021 Open-Set Label Noise Can Improve Robustness Against Inherent Label Noise Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An