Deep Stable Learning for Out-Of-Distribution Generalization

16 April 2021

Peng Cui

Papers citing "Deep Stable Learning for Out-Of-Distribution Generalization"

45 / 45 papers shown

Title
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 31 0 0 11 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 67 1 0 24 Apr 2025
Empirical likelihood for Fréchet means on open books Karthik Bharath Huiling Le A. Wood Xi Yan 108 3 0 25 Dec 2024
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 180 0 0 18 Dec 2024
Towards Deconfounded Image-Text Matching with Causal Inference Wenhui Li Xinqi Su Dan Song Lanjun Wang Kun Zhang An-An Liu BDL CML 45 10 0 22 Aug 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 54 0 0 21 Jul 2024
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
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 50 3 0 23 May 2024
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory Daehee Park Jaeseok Jeong Sung-Hoon Yoon Jaewoo Jeong Kuk-Jin Yoon TTA 42 10 0 15 Mar 2024
Revisiting Knowledge Distillation under Distribution Shift Songming Zhang Ziyu Lyu Xiaofeng Chen 29 1 0 25 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 44 2 0 19 Dec 2023
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge Xiaoge Zhang Xiao-Lin Wang Fenglei Fan Yiu-ming Cheung Indranil Bose 34 1 0 29 Nov 2023
Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges Shilin Zhang Jiahui Wang CLL 22 0 0 22 Nov 2023
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 23 9 0 08 Nov 2023
Consistency Regularization for Domain Generalization with Logit Attribution Matching Han Gao Kaican Li Weiyan Xie Zhi Lin Yongxiang Huang Luning Wang Caleb Chen Cao N. Zhang 13 2 0 13 May 2023
CNNs with Multi-Level Attention for Domain Generalization Aristotelis Ballas Christos Diou OOD 14 6 0 02 Apr 2023
Activity Cliff Prediction: Dataset and Benchmark Ziqiao Zhang Bangyi Zhao Ailin Xie Yatao Bian Shuigeng Zhou 17 10 0 15 Feb 2023
Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches Seong-Eun Moon J. Yoon Shinyoung Joo Yoo-Jin Kim J. Bae Seokho Yoon Haanju Yoo Young Min Cho 16 1 0 01 Feb 2023
Domain Generalization by Learning and Removing Domain-specific Features Yuzhu Ding Lei Wang Binxin Liang Shuming Liang Yang Wang Fangxiao Chen OOD 30 40 0 14 Dec 2022
Stable Learning via Sparse Variable Independence Han Yu Peng Cui Yue He Zheyan Shen Yong Lin Renzhe Xu Xingxuan Zhang OOD 28 13 0 02 Dec 2022
Cross-domain Transfer of defect features in technical domains based on partial target data T. Schlagenhauf Tim Scheurenbrand 33 1 0 24 Nov 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 32 1 0 22 Nov 2022
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie M. Zhang FedML OODD OOD 36 3 0 21 Nov 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup Wang Lu Jindong Wang Han Yu Lei Huang Xiang Zhang Yiqiang Chen Xingxu Xie 26 6 0 07 Nov 2022
Decoupled Mixup for Generalized Visual Recognition Haozhe Liu Wentian Zhang Jinheng Xie Haoqian Wu Bing Li Ziqi Zhang Yuexiang Li Yawen Huang Bernard Ghanem Yefeng Zheng 22 1 0 26 Oct 2022
Delving into the Continuous Domain Adaptation Yinsong Xu Zhuqing Jiang Aidong Men Yang Liu Qingchao Chen 19 4 0 28 Aug 2022
Bag of Tricks for Out-of-Distribution Generalization Zining Chen Weiqiu Wang Zhicheng Zhao Aidong Men Hong Chen 25 2 0 23 Aug 2022
Domain Decorrelation with Potential Energy Ranking Sen Pei Jiaxi Sun Richard Yi Da Xu Shiming Xiang Gaofeng Meng OOD 24 4 0 25 Jul 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
Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss Qiuyu Zhu Guohui Zheng Yingying Yan OODD 14 7 0 10 Apr 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 24 21 0 27 Mar 2022
Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds Shengjing Tian Jun Liu Xiuping Liu 3DPC 27 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 36 38 0 19 Jan 2022
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OODD OOD 26 97 0 07 Dec 2021
Label-Free Model Evaluation with Semi-Structured Dataset Representations Xiaoxiao Sun Yunzhong Hou Hongdong Li Liang Zheng 13 11 0 01 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 49 81 0 20 Nov 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 38 204 0 07 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 49 516 0 31 Aug 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 40 106 0 07 Jun 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 69 980 0 03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 54 1,170 0 02 Mar 2021
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 215 404 0 12 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 138 305 0 11 Jun 2018
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017