Causality Inspired Representation Learning for Domain Generalization

27 March 2022

Fangrui Lv

Jian Liang

Shuang Li

Chi Harold Liu

Papers citing "Causality Inspired Representation Learning for Domain Generalization"

34 / 84 papers shown

Title
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization Jintao Guo Lei Qi Yinghuan Shi OOD 25 20 0 20 Aug 2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization Xiran Wang Jian Zhang Lei Qi Yinghuan Shi 16 19 0 18 Aug 2023
Causal reasoning in typical computer vision tasks Kexuan Zhang Qiyu Sun Chaoqiang Zhao Yang Tang CML 24 11 0 26 Jul 2023
NormAUG: Normalization-guided Augmentation for Domain Generalization Lei Qi Hongpeng Yang Yinghuan Shi Xin Geng OOD 28 9 0 25 Jul 2023
Phase Matching for Out-of-Distribution Generalization Chengming Hu Ye Du Rui Wang Hao Chen OOD 26 0 0 24 Jul 2023
A Causal Framework to Unify Common Domain Generalization Approaches N. Zhang Kaican Li Han Gao Weiyan Xie Zhi Lin Z. Li Luning Wang Yongxiang Huang FedML OOD AI4CE 14 2 0 13 Jul 2023
CILF:Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction Shen Li Qifan Xue Yezhuo Zhang Xuanpeng Li OOD CML OODD 11 2 0 11 Jul 2023
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization Shuo Ye Shujian Yu W. Hou Yu Wang Xinge You OOD 8 10 0 08 Jun 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Yunze Tong Junkun Yuan Min Zhang Di-hua Zhu Keli Zhang Fei Wu Kun Kuang 21 7 0 25 May 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
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation Xinting Liao Weiming Liu Xiaolin Zheng Binhui Yao Chaochao Chen 23 14 0 11 May 2023
Towards Causal Representation Learning and Deconfounding from Indefinite Data Hang Chen Xinyu Yang Qing Yang OOD CML 19 0 0 04 May 2023
Moderately Distributional Exploration for Domain Generalization Ruiqi Dai Yonggang Zhang Zhen Fang Bo Han Xinmei Tian OOD 53 17 0 27 Apr 2023
Meta-causal Learning for Single Domain Generalization Jin Chen Zhiqiang Gao Xinxiao Wu Jiebo Luo OOD 21 41 0 07 Apr 2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition Wei-Jang Li Wei Yang Wenpeng Zhang Tianpeng Liu Yongxiang Liu Y. Liu 14 16 0 07 Apr 2023
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization Jintao Guo Na Wang Lei Qi Yinghuan Shi 22 33 0 21 Mar 2023
Feature Alignment and Uniformity for Test Time Adaptation Shuai Wang Daoan Zhang Zipei Yan Jiang Zhang Ruizhen Li TTA OOD 25 42 0 20 Mar 2023
Neuron Structure Modeling for Generalizable Remote Physiological Measurement Hao Lu Zitong Yu Xuesong Niu Yingke Chen 15 30 0 10 Mar 2023
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models Byunggyu Lew Donghyun Son Buru Chang 11 6 0 03 Feb 2023
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges Matej Zečević Moritz Willig D. Dhami Kristian Kersting 13 0 0 23 Dec 2022
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators Jianhao Yuan Francesco Pinto Adam Davies Philip H. S. Torr DiffM 10 12 0 21 Dec 2022
Causal Inference via Style Transfer for Out-of-distribution Generalisation Toan Nguyen Kien Do D. Nguyen Bao Duong T. Nguyen CML OODD OOD 22 10 0 06 Dec 2022
Direct-Effect Risk Minimization for Domain Generalization Yuhui Li Zejia Wu Chao Zhang Hongyang R. Zhang OOD 29 0 0 26 Nov 2022
Constrained Maximum Cross-Domain Likelihood for Domain Generalization Jianxin Lin Yongqiang Tang Junping Wang Wensheng Zhang OOD 14 3 0 09 Oct 2022
Domain Generalization -- A Causal Perspective Paras Sheth Raha Moraffah K. S. Candan A. Raglin Huan Liu CML OOD 40 17 0 30 Sep 2022
A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms Hang Chen Keqing Du Xinyu Yang Chenguang Li CML 31 11 0 14 Sep 2022
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective Jiangmeng Li Yanan Zhang Wenwen Qiang Lingyu Si Chengbo Jiao Xiaohui Hu Changwen Zheng Fuchun Sun CML 21 28 0 26 Aug 2022
Style Interleaved Learning for Generalizable Person Re-identification Wentao Tan Changxing Ding Pengfei Wang Mingming Gong K. Jia OOD 25 19 0 07 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 118 32 0 04 Jul 2022
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 29 510 0 31 Aug 2021
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 197 0 22 Mar 2020
Domain Adaptive Ensemble Learning Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD 127 268 0 16 Mar 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 204 402 0 12 Mar 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 171 311 0 07 Feb 2020