Domain Generalization using Causal Matching

12 June 2020

Papers citing "Domain Generalization using Causal Matching"

50 / 180 papers shown

Title
FIXED: Frustratingly Easy Domain Generalization with Mixup Wang Lu Jindong Wang Han Yu Lei Huang Xiang Zhang Yiqiang Chen Xingxu Xie 28 6 0 07 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui Qitian Wu Jiancan Wu Daixin Wang Longfei Li An Zhang Xiang Wang Xiangnan He OOD 24 33 0 05 Nov 2022
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta Kartik Ahuja Mohammad Havaei N. Chatterjee Yoshua Bengio OOD FedML 31 18 0 31 Oct 2022
Trade-off between reconstruction loss and feature alignment for domain generalization Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 44 1 0 26 Oct 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization Chaoqi Chen Luyao Tang Feng Liu Gangming Zhao Yue Huang Yizhou Yu 42 31 0 14 Oct 2022
Constrained Maximum Cross-Domain Likelihood for Domain Generalization Jianxin Lin Yongqiang Tang Junping Wang Wensheng Zhang OOD 24 3 0 09 Oct 2022
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems Parikshit Bansal Yashoteja Prabhu Emre Kıcıman Amit Sharma CML OOD 33 0 0 07 Oct 2022
Domain Generalization via Contrastive Causal Learning Qiaowei Miao Junkun Yuan Kun Kuang BDL OOD 41 12 0 06 Oct 2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation A. Puli Nitish Joshi Yoav Wald Hera Y. He Rajesh Ranganath 43 16 0 04 Oct 2022
Domain Generalization -- A Causal Perspective Paras Sheth Raha Moraffah K. S. Candan A. Raglin Huan Liu CML OOD 48 17 0 30 Sep 2022
Mitigating Both Covariate and Conditional Shift for Domain Generalization Jianxin Lin Yongqiang Tang Junping Wang Wensheng Zhang OOD 45 3 0 17 Sep 2022
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations Yilun Hao Ruinan Wang Zhangjie Cao Zihan Wang Yuchen Cui Dorsa Sadigh 33 2 0 16 Sep 2022
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution Wang Lu Jindong Wang Yidong Wang Xingxu Xie OOD 29 5 0 01 Sep 2022
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization Gilhyun Nam Gyeongjae Choi Kyungmin Lee OOD 18 4 0 22 Aug 2022
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization Bin Deng Kui Jia OOD 25 1 0 16 Aug 2022
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization Junkun Yuan Xu Ma Defang Chen Kun Kuang Fei Wu Lanfen Lin 29 25 0 07 Aug 2022
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization Jiaxin Qi Kaihua Tang Qianru Sun Xiansheng Hua Hanwang Zhang 24 12 0 06 Aug 2022
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization Mengzhu Wang Jianlong Yuan Qi Qian Zhibin Wang Hao Li 50 29 0 02 Aug 2022
Diversity Boosted Learning for Domain Generalization with Large Number of Domains Xinlin Leng Xiaoying Tang Yatao Bian AI4CE OOD 17 0 0 28 Jul 2022
Breaking Correlation Shift via Conditional Invariant Regularizer Mingyang Yi Ruoyu Wang Jiacheng Sun Zhenguo Li Zhi-Ming Ma OODD 20 5 0 14 Jul 2022
Probing Classifiers are Unreliable for Concept Removal and Detection Abhinav Kumar Chenhao Tan Amit Sharma AAML 34 21 0 08 Jul 2022
Style Interleaved Learning for Generalizable Person Re-identification Wentao Tan Changxing Ding Pengfei Wang Biwei Huang Kui Jia OOD 34 20 0 07 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
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 38 21 0 29 Jun 2022
Domain Generalization via Selective Consistency Regularization for Time Series Classification Wenyu Zhang Mohamed Ragab Chuan-Sheng Foo OOD AI4TS 27 2 0 16 Jun 2022
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization Jivat Neet Kaur Emre Kıcıman Amit Sharma UQCV OOD 30 25 0 15 Jun 2022
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization Yongqiang Chen Kaiwen Zhou Yatao Bian Binghui Xie Bing Wu ... Kaili Ma Han Yang P. Zhao Bo Han James Cheng OOD OODD 11 34 0 15 Jun 2022
Causal Balancing for Domain Generalization Xinyi Wang Michael Stephen Saxon Jiachen Li Hongyang R. Zhang Kun Zhang William Yang Wang OOD CML 42 21 0 10 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 35 6 0 05 Jun 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization Dongsung Huh A. Baidya OOD 28 8 0 29 May 2022
Feature-Distribution Perturbation and Calibration for Generalized Person ReID Qilei Li Jiabo Huang Jian Hu S. Gong OOD 27 3 0 23 May 2022
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis Xuetong Wu Biwei Huang J. Manton U. Aickelin Jingge Zhu CML 45 2 0 10 May 2022
Causal Transportability for Visual Recognition Chengzhi Mao K. Xia James Wang Hongya Wang Junfeng Yang Elias Bareinboim Carl Vondrick CML OOD BDL 32 36 0 26 Apr 2022
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets Vishnu Suresh Lokhande Rudrasis Chakraborty Sathya Ravi Vikas Singh 26 4 0 29 Mar 2022
Core Risk Minimization using Salient ImageNet Sahil Singla Mazda Moayeri S. Feizi 32 14 0 28 Mar 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 38 163 0 27 Mar 2022
Out-of-distribution Generalization with Causal Invariant Transformations Ruoyu Wang Mingyang Yi Zhitang Chen Shengyu Zhu OOD OODD 33 56 0 22 Mar 2022
Domain Generalisation for Object Detection under Covariate and Concept Shift Karthik Seemakurthy E. Aptoula Charles Fox Petra Bosilj ObjD OOD 34 10 0 10 Mar 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Wang Ziwei Zhang Wenwu Zhu OOD CML 33 97 0 16 Feb 2022
Conditional entropy minimization principle for learning domain invariant representation features Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 34 7 0 25 Jan 2022
Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction Jing-Yi Wang Ruoyi Du Dongliang Chang Kongming Liang Zhanyu Ma OOD 38 44 0 20 Jan 2022
Towards Group Robustness in the presence of Partial Group Labels Vishnu Suresh Lokhande Kihyuk Sohn Jinsung Yoon Madeleine Udell Chen-Yu Lee Tomas Pfister OOD 40 11 0 10 Jan 2022
MVDG: A Unified Multi-view Framework for Domain Generalization Jian Zhang Lei Qi Yinghuan Shi Yang Gao 24 29 0 23 Dec 2021
Automated Domain Discovery from Multiple Sources to Improve Zero-Shot Generalization Kowshik Thopalli Sameeksha Katoch Pavan Turaga Jayaraman J. Thiagarajan OOD 26 0 0 17 Dec 2021
Balancing Fairness and Robustness via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani L. Varshney OOD 36 1 0 17 Dec 2021
Adaptive Methods for Aggregated Domain Generalization Xavier Thomas D. Mahajan A. Pentland Abhimanyu Dubey OOD 16 10 0 09 Dec 2021
PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization Jintao Guo Lei Qi Yinghuan Shi Yang Gao OOD AI4CE 41 5 0 07 Dec 2021
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu Xiaogang Jia Masayoshi Tomizuka Wei Zhan OOD 40 25 0 03 Dec 2021
Confounder Identification-free Causal Visual Feature Learning Xin Li Zhizheng Zhang Guoqiang Wei Cuiling Lan Wenjun Zeng Xin Jin Zhibo Chen CML OOD 32 14 0 26 Nov 2021