Domain Generalization using Causal Matching

12 June 2020

Papers citing "Domain Generalization using Causal Matching"

30 / 180 papers shown

Title
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation Cheng Ouyang Chen Chen Surui Li Zeju Li C. Qin Wenjia Bai Daniel Rueckert OOD 34 156 0 24 Nov 2021
Towards Data-Free Domain Generalization A. Frikha Haokun Chen Denis Krompass Thomas Runkler Volker Tresp OOD 41 14 0 09 Oct 2021
The Connection between Out-of-Distribution Generalization and Privacy of ML Models Divyat Mahajan Shruti Tople Amit Sharma OOD 21 7 0 07 Oct 2021
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders Junkun Yuan Xu Ma Ruoxuan Xiong Biwei Huang Xiangyu Liu Fei Wu Lanfen Lin Kun Kuang OOD CML 20 12 0 04 Oct 2021
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption A. Frikha Denis Krompass Volker Tresp OOD 35 1 0 09 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 61 519 0 31 Aug 2021
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning Jiatong Cai Chenglu Zhu C. Cui Honglin Li Tong Wu Shichuan Zhang Lin Yang 24 8 0 06 Jul 2021
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations A. Puli Lily H. Zhang Eric K. Oermann Rajesh Ranganath OOD OODD 27 48 0 29 Jun 2021
Critically examining the Domain Generalizability of Facial Expression Recognition models Varsha Suresh G. Yeo Desmond C. Ong 29 6 0 29 Jun 2021
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments Yining Chen Elan Rosenfeld Mark Sellke Tengyu Ma Andrej Risteski OOD 31 33 0 18 Jun 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization Kartik Ahuja Ethan Caballero Dinghuai Zhang Jean-Christophe Gagnon-Audet Yoshua Bengio Ioannis Mitliagkas Irina Rish OOD 15 251 0 11 Jun 2021
Invariant Information Bottleneck for Domain Generalization Bo-wen Li Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 32 106 0 11 Jun 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 44 17 0 07 Jun 2021
Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms Yunqi Wang Furui Liu Zhitang Chen Qing Lian Guangyong Chen Jianye Hao Yik-Chung Wu OOD CML 33 34 0 02 Jun 2021
Deep Domain Generalization with Feature-norm Network Mohammad Mahfujur Rahman Clinton Fookes Sridha Sridharan OOD 25 3 0 28 Apr 2021
Towards Causal Federated Learning For Enhanced Robustness and Privacy Sreya Francis Irene Tenison Irina Rish FedML OOD 19 15 0 14 Apr 2021
Explainability-aided Domain Generalization for Image Classification Robin M. Schmidt FAtt OOD 27 1 0 05 Apr 2021
Adaptive Methods for Real-World Domain Generalization Abhimanyu Dubey Vignesh Ramanathan Alex Pentland D. Mahajan OOD 30 88 0 29 Mar 2021
Matched sample selection with GANs for mitigating attribute confounding Chandan Singh Guha Balakrishnan Pietro Perona GAN 19 6 0 24 Mar 2021
Improved Detection of Face Presentation Attacks Using Image Decomposition Shlok Kumar Mishra K. Sengupta Max Horowitz-Gelb Wen-Sheng Chu Sofien Bouaziz David Jacobs CVBM 24 2 0 22 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 75 982 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 1,177 0 02 Mar 2021
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization Xudong Sun Florian Buettner BDL OOD DRL 24 3 0 23 Jan 2021
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective Kartik Ahuja Jun Wang Amit Dhurandhar Karthikeyan Shanmugam Kush R. Varshney OOD 38 79 0 30 Oct 2020
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions Kartik Ahuja Karthikeyan Shanmugam Amit Dhurandhar 16 9 0 28 Oct 2020
The Risks of Invariant Risk Minimization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 24 307 0 12 Oct 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 226 405 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 215 907 0 02 Mar 2020
Generalizing to unseen domains via distribution matching Isabela Albuquerque João Monteiro Mohammad Javad Darvishi Bayazi T. Falk Ioannis Mitliagkas OOD 26 155 0 03 Nov 2019
Alleviating Privacy Attacks via Causal Learning Shruti Tople Amit Sharma A. Nori MIACV OOD 33 32 0 27 Sep 2019