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Domain Invariant Representation Learning with Domain Density Transformations

9 February 2021

Papers citing "Domain Invariant Representation Learning with Domain Density Transformations"

38 / 38 papers shown

Title
From Invariant Representations to Invariant Data: Provable Robustness to Spurious Correlations via Noisy Counterfactual Matching Ruqi Bai Yao Ji Zeyu Zhou David I. Inouye OOD 29 0 0 30 May 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Chenruo Liu Kenan Tang Yao Qin Qi Lei 43 0 0 28 May 2025
Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains Sabbir Ahmed Mamshad Nayeem Rizve Abdullah Al Arafat Jacqueline T. Liu Rahim Hossain Mohaiminul Al Nahian Adnan Siraj Rakin FedML 44 0 0 27 May 2025
Fundamental Limits of Perfect Concept Erasure Somnath Basu Roy Chowdhury Avinava Dubey Ahmad Beirami Rahul Kidambi Nicholas Monath Amr Ahmed Snigdha Chaturvedi 107 1 0 25 Mar 2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families Louis McConnell OOD CML 104 0 0 06 Mar 2025
Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration Haoze Sun Wenbo Li Qingbin Liu Kaiwen Zhou Yongqiang Chen Yong Guo Yunshui Li Renjing Pei Long Peng Yue Yang DiffM 113 1 0 01 Dec 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients Mengmeng Ma Tang Li Xi Peng 124 4 0 06 Jul 2024
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation You-Wei Luo Chuan-Xian Ren Xiao-Lin Xu Qingshan Liu 79 1 0 24 Jun 2024
Domain Adaptation with Cauchy-Schwarz Divergence Wenzhe Yin Shujian Yu Yicong Lin Jie Li Jan-Jakob Sonke E. Gavves 94 4 0 30 May 2024
Non-stationary Domain Generalization: Theory and Algorithm Thai-Hoang Pham Xueru Zhang Ping Zhang OOD 99 1 0 10 May 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning Sikai Bai Jiewei Zhang Shuaicheng Li Song Guo Jingcai Guo Jun Hou Tao Han Xiaocheng Lu FedML 125 15 0 11 Mar 2024
Learning Conditional Invariances through Non-Commutativity Abhra Chaudhuri Serban Georgescu Anjan Dutta 108 1 0 18 Feb 2024
Generalizing across Temporal Domains with Koopman Operators Qiuhao Zeng Wei Wang Fan Zhou Gezheng Xu Ruizhi Pu Changjian Shui Christian Gagné Shichun Yang Boyu Wang Charles Ling OOD AI4CE 75 9 0 12 Feb 2024
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective João B. S. Carvalho Mengtao Zhang Robin Geyer C. Jiménez J. M. Buhmann 65 6 0 21 Dec 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 97 1 0 25 Oct 2023
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance Zeyi Huang Andy Zhou Zijian Lin Mu Cai Haohan Wang Yong Jae Lee VLM OOD 89 33 0 21 Sep 2023
Domain Generalization for Domain-Linked Classes Kimathi Kaai Saad Hossain Sirisha Rambhatla OOD AI4CE 54 0 0 01 Jun 2023
Moderately Distributional Exploration for Domain Generalization Ruiqi Dai Yonggang Zhang Zhen Fang Bo Han Xinmei Tian OOD 117 19 0 27 Apr 2023
Energy-Based Test Sample Adaptation for Domain Generalization Zehao Xiao Xiantong Zhen Tianran Ouyang Cees G. M. Snoek TTA 103 20 0 22 Feb 2023
EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing Tianyi Zheng CVBM 79 2 0 17 Feb 2023
Fairness and Accuracy under Domain Generalization Thai-Hoang Pham Xueru Zhang Ping Zhang 102 23 0 30 Jan 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment Qiuhao Zeng Wei Wang Fan Zhou Charles Ling Boyu Wang OOD ViT 71 18 0 19 Jan 2023
Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring Furkan Luleci F. Catbas 71 2 0 28 Dec 2022
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation Pipeline Ben Fei Siyuan Huang Jiakang Yuan Botian Shi Bo Zhang Weidong Yang Min Dou Yikang Li 97 1 0 20 Dec 2022
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks Christina Chaccour Walid Saad Merouane Debbah Zhu Han H. Vincent Poor GNN 3DV 48 132 0 25 Nov 2022
Robust Self-Supervised Learning with Lie Groups Mark Ibrahim Diane Bouchacourt Ari S. Morcos SSL OOD 73 6 0 24 Oct 2022
Generalizability of Adversarial Robustness Under Distribution Shifts Kumail Alhamoud Hasan Hammoud Motasem Alfarra Guohao Li OOD 135 9 0 29 Sep 2022
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions Arezou Pakzad Kumar Abhishek Ghassan Hamarneh 95 19 0 29 Aug 2022
Joint covariate-alignment and concept-alignment: a framework for domain generalization Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 69 5 0 01 Aug 2022
Domain Decorrelation with Potential Energy Ranking Sen Pei Jiaxi Sun Richard Yi Da Xu Shiming Xiang Gaofeng Meng OOD 111 4 0 25 Jul 2022
Evolving Domain Generalization Wei Wang Gezheng Xu Ruizhi Pu Jiaqi Li Fan Zhou Changjian Shui Charles Ling Christian Gagné Boyu Wang OOD 78 3 0 31 May 2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder Tiexin Qin Shiqi Wang Haoliang Li CML BDL 50 25 0 16 May 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization Zeyi Huang Haohan Wang Dong Huang Yong Jae Lee Eric P. Xing 88 22 0 09 Apr 2022
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization Kecheng Zheng Yang Cao Kai Zhu Ruijing Zhao Zhengjun Zha 80 6 0 24 Mar 2022
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health Ryan T. Scott E. Antonsen Lauren M Sanders Jaden J. A. Hastings Seung-min Park ... Baltimore. Biochemistry Jason H. Yang Re-Emerging Pathogens Harvard University 53 7 0 22 Dec 2021
KL Guided Domain Adaptation A. Nguyen Toan M. Tran Y. Gal Philip Torr A. G. Baydin OOD 82 42 0 14 Jun 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 109 113 0 07 Jun 2021
Fundamental Limits and Tradeoffs in Invariant Representation Learning Han Zhao Chen Dan Bryon Aragam Tommi Jaakkola Geoffrey J. Gordon Pradeep Ravikumar FaML 99 45 0 19 Dec 2020