Domain adaptation under structural causal models

29 October 2020

Papers citing "Domain adaptation under structural causal models"

26 / 26 papers shown

Title
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin Nicola Gnecco Fanny Yang 64 3 0 04 Feb 2025
SSL Framework for Causal Inconsistency between Structures and Representations Hang Chen Xinyu Yang Keqing Du Wenya Wang 50 2 0 03 Jan 2025
Training-Conditional Coverage Bounds under Covariate Shift Mehrdad Pournaderi Yu Xiang 29 3 0 26 May 2024
STAT: Towards Generalizable Temporal Action Localization Yangcen Liu Ziyi Liu Yuanhao Zhai Wen Li David Doerman Junsong Yuan 29 2 0 20 Apr 2024
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality Sai Li Linjun Zhang OOD FaML 62 1 0 02 Apr 2024
Unified Source-Free Domain Adaptation Song Tang Wenxin Su Mao Ye Jianwei Zhang Xiatian Zhu 93 5 0 12 Mar 2024
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach Ziliang Chen Yongsen Zheng Zhao-Rong Lai Quanlong Guan Liang Lin CML 24 1 0 15 Dec 2023
Subspace Identification for Multi-Source Domain Adaptation Zijian Li Ruichu Cai Guan-Hong Chen Boyang Sun Z. Hao Kun Zhang 18 33 0 07 Oct 2023
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms Keru Wu Yuansi Chen Wooseok Ha Ting Yu CML 21 2 0 19 Sep 2023
Multi-dimensional domain generalization with low-rank structures Sai Li Linjun Zhang 28 2 0 18 Sep 2023
Causality-oriented robustness: exploiting general noise interventions Xinwei Shen Peter Buhlmann Armeen Taeb OOD 45 7 0 18 Jul 2023
Intervention Generalization: A View from Factor Graph Models Gecia Bravo Hermsdorff David S. Watson Jialin Yu Jakob Zeitler Ricardo M. A. Silva CML 17 4 0 06 Jun 2023
Learning under random distributional shifts Kirk Bansak E. Paulson Dominik Rothenhäusler OOD 4 4 0 05 Jun 2023
An Invariant Learning Characterization of Controlled Text Generation Carolina Zheng Claudia Shi Keyon Vafa Amir Feder David M. Blei OOD 22 8 0 31 May 2023
A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers N. Statuto Irene Unceta Jordi Nin O. Pujol 15 0 0 06 Feb 2023
Adapting to Latent Subgroup Shifts via Concepts and Proxies Ibrahim M. Alabdulmohsin Nicole Chiou Alexander DÁmour A. Gretton Sanmi Koyejo Matt J. Kusner Stephen R. Pfohl Olawale Salaudeen Jessica Schrouff Katherine Tsai 54 9 0 21 Dec 2022
Learning Invariant Representations under General Interventions on the Response Kang Du Yu Xiang OOD 22 8 0 22 Aug 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 121 32 0 04 Jul 2022
Out-of-distribution Generalization with Causal Invariant Transformations Ruoyu Wang Mingyang Yi Zhitang Chen Shengyu Zhu OOD OODD 17 56 0 22 Mar 2022
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 18 78 0 14 Feb 2022
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation John Lambert Zhuang Liu Ozan Sener James Hays V. Koltun VLM 24 197 0 27 Dec 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Fei Wu Jingren Zhou Hongxia Yang 16 91 0 11 Nov 2021
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 215 201 0 21 Oct 2021
Interpolation can hurt robust generalization even when there is no noise Konstantin Donhauser Alexandru cTifrea Michael Aerni Reinhard Heckel Fanny Yang 26 14 0 05 Aug 2021
Deep Visual Domain Adaptation G. Csurka OOD 130 185 0 28 Dec 2020
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 788 0 19 Feb 2009