Learning Causal Semantic Representation for Out-of-Distribution Prediction

3 November 2020

Papers citing "Learning Causal Semantic Representation for Out-of-Distribution Prediction"

50 / 51 papers shown

Title
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Kaican Li Weiyan Xie Yongxiang Huang Didan Deng Lanqing Hong Z. Li Ricardo Silva N. Zhang 71 0 0 29 Nov 2024
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning Boyu Chen Junjie Liu Zhu Li Mengyue yang 35 1 0 29 Aug 2024
Revisiting Spurious Correlation in Domain Generalization Bin Qin Jiangmeng Li Yi Li Xuesong Wu Yupeng Wang Wenwen Qiang Jianwen Cao CML 42 1 0 17 Jun 2024
Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality Jiangmeng Li Bin Qin Qirui Ji Yi Li Wenwen Qiang Jianwen Cao Fanjiang Xu 44 0 0 17 Jun 2024
Causality-inspired Latent Feature Augmentation for Single Domain Generalization Jian Xu Chaojie Ji Yankai Cao Ye Li Ruxin Wang OOD 29 0 0 10 Jun 2024
Graphs Generalization under Distribution Shifts Qin Tian Wenjun Wang Chen Zhao Minglai Shao Wang Zhang Dong Li OOD 32 2 0 25 Mar 2024
Implicit Causal Representation Learning via Switchable Mechanisms Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley CML 49 0 0 16 Feb 2024
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective João B. S. Carvalho Mengtao Zhang Robin Geyer C. Jiménez J. M. Buhmann 21 5 0 21 Dec 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization Zhuo Huang Muyang Li Li Shen Jun-chen Yu Chen Gong Bo Han Tongliang Liu OOD 40 8 0 25 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 31 7 0 17 Oct 2023
Towards Unified and Effective Domain Generalization Yiyuan Zhang Kaixiong Gong Xiaohan Ding Kaipeng Zhang Fangrui Lv Kurt Keutzer Xiangyu Yue AI4CE OOD FedML 33 4 0 16 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category Shift Chaoqi Chen Luyao Tang Leitian Tao Hong-Yu Zhou Yue Huang Xiaoguang Han Yizhou Yu OOD 22 10 0 07 Oct 2023
Invariant Learning via Probability of Sufficient and Necessary Causes Mengyue Yang Zhen Fang Yonggang Zhang Yali Du Furui Liu Jean-François Ton Jianhong Wang Jun Wang OODD 34 13 0 22 Sep 2023
Inducing Causal Structure for Abstractive Text Summarization Luyao Chen Ruqing Zhang Wei Huang Wei-Neng Chen J. Guo Xueqi Cheng CML 21 1 0 24 Aug 2023
Shadow Datasets, New challenging datasets for Causal Representation Learning Jiageng Zhu Hanchen Xie Jianhua Wu Jiazhi Li Mahyar Khayatkhoei Mohamed E. Hussein Wael AbdAlmageed 27 2 0 10 Aug 2023
Causal reasoning in typical computer vision tasks Kexuan Zhang Qiyu Sun Chaoqiang Zhao Yang Tang CML 26 11 0 26 Jul 2023
Towards Generalising Neural Topical Representations Xiaohao Yang He Zhao Dinh Q. Phung Lan Du BDL OOD MedIm 19 1 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 21 2 0 13 Jul 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
Meta-causal Learning for Single Domain Generalization Jin Chen Zhiqiang Gao Xinxiao Wu Jiebo Luo OOD 31 41 0 07 Apr 2023
Masked Images Are Counterfactual Samples for Robust Fine-tuning Yao Xiao Ziyi Tang Pengxu Wei Cong Liu Liang Lin 49 16 0 06 Mar 2023
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations Xuyang Zhao Tianqi Du Yisen Wang Jun Yao Weiran Huang 36 13 0 02 Mar 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley OODD OOD 23 12 0 17 Feb 2023
Causal conditional hidden Markov model for multimodal traffic prediction Yu Zhao Pan Deng Junting Liu Xiaofeng Jia Mulan X. Wang 26 11 0 19 Jan 2023
Spatio-temporal neural structural causal models for bike flow prediction Pan Deng Yu Zhao Junting Liu Xiaofeng Jia Mulan X. Wang AI4TS 19 18 0 19 Jan 2023
Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints Hao Ding J. Wu Zhaoshuo Li Mathias Unberath CML 32 10 0 30 Nov 2022
Direct-Effect Risk Minimization for Domain Generalization Yuhui Li Zejia Wu Chao Zhang Hongyang R. Zhang OOD 37 0 0 26 Nov 2022
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization Xuhai Xu Han Zhang Yasaman S. Sefidgar Yiyi Ren Xin Liu ... Tim Althoff Margaret E. Morris E. Riskin Jennifer Mankoff A. Dey 30 38 0 04 Nov 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 30 31 0 14 Oct 2022
Domain Generalization via Contrastive Causal Learning Qiaowei Miao Junkun Yuan Kun Kuang BDL OOD 33 12 0 06 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
A Survey of Deep Causal Models and Their Industrial Applications Zongyu Li Xiaoning Guo Siwei Qiang CML AI4CE 32 7 0 19 Sep 2022
Domain-Specific Risk Minimization for Out-of-Distribution Generalization Yi-Fan Zhang Jindong Wang Jian Liang Zhang Zhang Baosheng Yu Liangdao Wang Dacheng Tao Xingxu Xie OOD 24 16 0 18 Aug 2022
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization Bin Deng K. Jia OOD 20 1 0 16 Aug 2022
Domain-invariant Feature Exploration for Domain Generalization Wang Lu Jindong Wang Haoliang Li Yiqiang Chen Xing Xie OOD 30 69 0 25 Jul 2022
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style Zhuo Huang Xiaobo Xia Li Shen Bo Han Mingming Gong Chen Gong Tongliang Liu OODD 30 46 0 07 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 123 32 0 04 Jul 2022
A Review of Causality for Learning Algorithms in Medical Image Analysis Athanasios Vlontzos Daniel Rueckert Bernhard Kainz OOD 35 17 0 11 Jun 2022
Causal Balancing for Domain Generalization Xinyi Wang Michael Stephen Saxon Jiachen Li Hongyang R. Zhang Kun Zhang William Yang Wang OOD CML 36 21 0 10 Jun 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation Ziniu Hu Zhe Zhao Xinyang Yi Tiansheng Yao Lichan Hong Yizhou Sun Ed H. Chi OOD LRM 87 29 0 19 May 2022
InvNorm: Domain Generalization for Object Detection in Gastrointestinal Endoscopy Weichen Fan Yuanbo Yang Kunpeng Qiu Shuo Wang Yongxin Guo 25 3 0 05 May 2022
CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data Hao Ding Jintan Zhang Peter Kazanzides J. Wu Mathias Unberath 24 17 0 15 Mar 2022
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu Xiaogang Jia M. Tomizuka Wei Zhan OOD 38 25 0 03 Dec 2021
Invariant Language Modeling Maxime Peyrard Sarvjeet Ghotra Martin Josifoski Vidhan Agarwal Barun Patra Dean Carignan Emre Kıcıman Robert West 16 13 0 16 Oct 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
Learning Domain Invariant Representations for Generalizable Person Re-Identification Yi-Fan Zhang Zhang Zhang Da Li Zhen Jia Liang Wang T. Tan OOD 29 40 0 29 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
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
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 178 313 0 07 Feb 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016