Stable Prediction with Model Misspecification and Agnostic Distribution Shift

31 January 2020

Peng Cui

Papers citing "Stable Prediction with Model Misspecification and Agnostic Distribution Shift"

22 / 22 papers shown

Title
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources Renzhe Xu Kun Wang Bo Li 36 0 0 12 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 70 1 0 24 Apr 2025
Generalized Fake Audio Detection via Deep Stable Learning Zhiyong Wang Ruibo Fu Zhengqi Wen Yuankun Xie Yukun Liu ... Yongwei Li Jianhua Tao Yi Lu Xin Qi Shuchen Shi 37 7 0 05 Jun 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 49 2 0 19 Dec 2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization Yingchun Wang Jingcai Guo Yi Liu Song Guo Weizhan Zhang Xiangyong Cao Qinghua Zheng AAML OODD 31 11 0 19 May 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 39 60 0 24 Jan 2023
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning Yingchun Wang Jingcai Guo Song Guo Weizhan Zhang Jiewei Zhang OODD 37 16 0 19 Dec 2022
Stable Learning via Sparse Variable Independence Han Yu Peng Cui Yue He Zheyan Shen Yong Lin Renzhe Xu Xingxuan Zhang OOD 40 13 0 02 Dec 2022
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization Yufan Liao Qi Wu Zhaodi Wu Xing Yan 13 4 0 18 Nov 2022
Improving Multi-Interest Network with Stable Learning Zhaocheng Liu Yingtao Luo Di Zeng Qiang Liu Daqing Chang Dongying Kong Zhi Chen HAI 44 1 0 14 Jul 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 36 17 0 29 Jun 2022
Towards Domain Generalization in Object Detection Xingxuan Zhang Zekai Xu Renzhe Xu Jiashuo Liu Peng Cui Weitao Wan Chong Sun Chen Li ObjD OOD 26 21 0 27 Mar 2022
Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds Shengjing Tian Jun Liu Xiuping Liu 3DPC 29 4 0 28 Feb 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 44 38 0 19 Jan 2022
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Wang Ziwei Zhang Wenwu Zhu OODD OOD 29 97 0 07 Dec 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 57 81 0 20 Nov 2021
Stable Prediction on Graphs with Agnostic Distribution Shift Shengyu Zhang Kun Kuang J. Qiu Jin Yu Zhou Zhao Hongxia Yang Zhongfei Zhang Fei Wu OOD 39 8 0 08 Oct 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 55 517 0 31 Aug 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 27 8 0 15 Jun 2021
Learning causal representations for robust domain adaptation shuai Yang Kui Yu Fuyuan Cao Lin Liu Hongya Wang Jiuyong Li OOD CML TTA 18 44 0 12 Nov 2020
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners E. C. Neto OOD CML 27 6 0 09 Nov 2020
Stable Adversarial Learning under Distributional Shifts Jiashuo Liu Zheyan Shen Peng Cui Linjun Zhou Kun Kuang Yangqiu Song Yishi Lin OOD 27 30 0 08 Jun 2020