Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

10 March 2020

Rémi Tachet des Combes

Papers citing "Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift"

50 / 118 papers shown

Title
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts Jongha Lee Taehyung Kwon Heechan Moon Kijung Shin AI4TS 41 0 0 01 Apr 2025
Domain Adaptation and Entanglement: an Optimal Transport Perspective Okan Koç Alexander Soen Chao-Kai Chiang Masashi Sugiyama OOD AAML 64 0 0 11 Mar 2025
Structural Alignment Improves Graph Test-Time Adaptation Hans Hao-Hsun Hsu Shikun Liu Han Zhao Pan Li OOD TTA 58 0 0 25 Feb 2025
Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models Taj Jones-McCormick Aukosh Jagannath S. Sen 51 0 0 24 Feb 2025
Contrastive Conditional Alignment based on Label Shift Calibration for Imbalanced Domain Adaptation Xiaona Sun Zhenyu Wu Zhiqiang Zhan Yang Ji 41 1 0 31 Dec 2024
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift A. Nguyen Lam C. Tran Anh Tong Tuan-Duy H. Nguyen Toan M. Tran 40 1 0 31 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan 83 14 0 09 Dec 2024
Invariant Shape Representation Learning For Image Classification Tonmoy Hossain Jing Ma Jundong Li Miaomiao Zhang 68 2 0 19 Nov 2024
Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment Indrajeet Ghosh Garvit Chugh A. Faridee Nirmalya Roy 16 0 0 23 Oct 2024
Adapting to Shifting Correlations with Unlabeled Data Calibration Minh Le Nguyen Alan Q. Wang Heejong Kim Mert R. Sabuncu OOD 16 1 0 09 Sep 2024
Evidential Graph Contrastive Alignment for Source-Free Blending-Target Domain Adaptation Juepeng Zheng Yibin Wen Jinxiao Zhang Runmin Dong H. Fu 60 0 0 14 Aug 2024
COD: Learning Conditional Invariant Representation for Domain Adaptation Regression Hao-Ran Yang Chuan-Xian Ren You-Wei Luo CML AI4CE 23 1 0 13 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 28 1 0 31 Jul 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu Zhen Zhang Jiachen Tang Jiajun Bu Bingsheng He Sheng Zhou 31 3 0 09 Jul 2024
When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights You-Wei Luo Chuan-Xian Ren OOD 27 1 0 24 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 32 0 0 14 Jun 2024
Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach Minjia Mao Xiaohang Zhao Xiao Fang 32 0 0 02 Jun 2024
Causally Inspired Regularization Enables Domain General Representations Olawale Salaudeen Oluwasanmi Koyejo OOD CML 25 1 0 25 Apr 2024
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection Ziyi Zhou Xiaoming Zhang Litian Zhang Jiacheng Liu Xi Zhang Chaozhuo Li 44 0 0 30 Mar 2024
Pairwise Alignment Improves Graph Domain Adaptation Shikun Liu Deyu Zou Han Zhao Pan Li OOD 38 7 0 02 Mar 2024
Any-Shift Prompting for Generalization over Distributions Zehao Xiao Jiayi Shen Mohammad Mahdi Derakhshani Shengcai Liao Cees G. M. Snoek OOD VPVLM VLM 37 8 0 15 Feb 2024
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation Ruihan Wu Siddhartha Datta Yi Su Dheeraj Baby Yu-Xiang Wang Kilian Q. Weinberger 24 1 0 05 Feb 2024
Multi-source domain adaptation for regression Yujie Wu Giovanni Parmigiani Boyu Ren 17 1 0 09 Dec 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms Haoxiang Wang Gargi Balasubramaniam Haozhe Si Bo Li Han Zhao OOD 35 1 0 02 Nov 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations Teng Xiao Huaisheng Zhu Zhengyu Chen Suhang Wang 22 31 0 29 Oct 2023
Robust Learning via Conditional Prevalence Adjustment Minh Nguyen Alan Q. Wang Heejong Kim M. Sabuncu CML OOD 21 2 0 24 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 49 5 0 20 Oct 2023
Subspace Identification for Multi-Source Domain Adaptation Zijian Li Ruichu Cai Guan-Hong Chen Boyang Sun Z. Hao Kun Zhang 31 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 26 2 0 19 Sep 2023
GeT: Generative Target Structure Debiasing for Domain Adaptation Can Zhang G. Lee DiffM 26 2 0 20 Aug 2023
Prediction under Latent Subgroup Shifts with High-Dimensional Observations William I. Walker A. Gretton M. Sahani OOD 18 1 0 23 Jun 2023
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization Shuo Ye Shujian Yu W. Hou Yu Wang Xinge You OOD 16 10 0 08 Jun 2023
Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching Bastien Dussap Gilles Blanchard Badr-Eddine Chérief-Abdellatif OOD 6 7 0 07 Jun 2023
Structural Re-weighting Improves Graph Domain Adaptation Shikun Liu Tianchun Li Yongbin Feng Nhan Tran H. Zhao Qiu Qiang Pan Li OOD AI4CE 19 33 0 05 Jun 2023
Generalized Universal Domain Adaptation with Generative Flow Networks Didi Zhu Yinchuan Li Yunfeng Shao Jianye Hao Fei Wu Kun Kuang Jun Xiao Chao Wu AI4CE OOD 34 16 0 08 May 2023
Are demographically invariant models and representations in medical imaging fair? Eike Petersen Enzo Ferrante M. Ganz Aasa Feragen MedIm 35 10 0 02 May 2023
Source-free Domain Adaptation Requires Penalized Diversity Laya Rafiee Sevyeri Ivaxi Sheth Farhood Farahnak Alexandre See Samira Ebrahimi Kahou T. Fevens Mohammad Havaei TTA 13 0 0 06 Apr 2023
A Data Fusion Framework for Multi-Domain Morality Learning Siyi Guo Negar Mokhberian Kristina Lerman FedML 33 24 0 04 Apr 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation Qi Chen M. Marchand OOD 23 8 0 04 Apr 2023
Mathematical Challenges in Deep Learning V. Nia Guojun Zhang I. Kobyzev Michael R. Metel Xinlin Li ... S. Hemati M. Asgharian Linglong Kong Wulong Liu Boxing Chen AI4CE VLM 35 1 0 24 Mar 2023
Bi-directional Distribution Alignment for Transductive Zero-Shot Learning Zhicai Wang Y. Hao Tingting Mu Ouxiang Li Shuo Wang Xiangnan He VLM 26 10 0 15 Mar 2023
A Prototype-Oriented Clustering for Domain Shift with Source Privacy Korawat Tanwisuth Shujian Zhang Pengcheng He Mingyuan Zhou 27 3 0 08 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 30 31 0 06 Feb 2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation P. Xu Boyu Wang Charles X. Ling 28 6 0 03 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 62 9 0 21 Dec 2022
Learning List-Level Domain-Invariant Representations for Ranking Ruicheng Xian Honglei Zhuang Zhen Qin Hamed Zamani Jing Lu Ji Ma Kai Hui Han Zhao Xuanhui Wang Michael Bendersky OOD 34 9 0 21 Dec 2022
Efficient Conditionally Invariant Representation Learning Roman Pogodin Namrata Deka Yazhe Li Danica J. Sutherland Victor Veitch A. Gretton BDL OOD CML 33 16 0 16 Dec 2022
Label Alignment Regularization for Distribution Shift Ehsan Imani Guojun Zhang Runjia Li Jun-Jie Luo Pascal Poupart Philip H. S. Torr Yangchen Pan 25 2 0 27 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey Yuecong Xu Haozhi Cao Zhenghua Chen Xiaoli Li Lihua Xie Jianfei Yang 24 14 0 17 Nov 2022
LEATHER: A Framework for Learning to Generate Human-like Text in Dialogue Anthony Sicilia Malihe Alikhani 37 4 0 14 Oct 2022