Xu, Renzhe

19 publications

CVPR 2025 COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models Under Distribution Shifts Jiansheng Li, Xingxuan Zhang, Hao Zou, Yige Guo, Renzhe Xu, Yilong Liu, Chuzhao Zhu, Yue He, Peng Cui

ICML 2025 Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources Renzhe Xu, Kang Wang, Bo Li

CVPR 2025 On the Out-of-Distribution Generalization of Large Multimodal Models Xingxuan Zhang, Jiansheng Li, Wenjing Chu, Junjia Hai, Renzhe Xu, Yuqing Yang, Shikai Guan, Jiazheng Xu, Liping Jing, Peng Cui

ICLR 2025 Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study Xingxuan Zhang, Haoran Wang, Jiansheng Li, Yuan Xue, Shikai Guan, Renzhe Xu, Hao Zou, Han Yu, Peng Cui

CVPR 2024 Rethinking the Evaluation Protocol of Domain Generalization Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui

ICML 2023 Competing for Shareable Arms in Multi-Player Multi-Armed Bandits Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui

AAAI 2023 Covariate-Shift Generalization via Random Sample Weighting Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui

CLeaR 2023 Factual Observation Based Heterogeneity Learning for Counterfactual Prediction Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui

ICCV 2023 Flatness-Aware Minimization for Domain Generalization Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui

CVPR 2023 Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui

ICLR 2023 Measure the Predictive Heterogeneity Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui

CVPR 2023 NICO++: Towards Better Benchmarking for Domain Generalization Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui

AAAI 2023 Stable Learning via Sparse Variable Independence Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang

ICML 2022 A Theoretical Analysis on Independence-Driven Importance Weighting for Covariate-Shift Generalization Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui

ICML 2022 Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang

ECCVW 2022 NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui

NeurIPS 2022 Product Ranking for Revenue Maximization with Multiple Purchases Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui

CVPR 2022 Towards Unsupervised Domain Generalization Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu

CVPR 2021 Deep Stable Learning for Out-of-Distribution Generalization Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen