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
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection Abhay Rawat Isha Dua Saurav Gupta Rahul Tallamraju 13 1 0 05 Sep 2022
Learning Invariant Representations under General Interventions on the Response Kang Du Yu Xiang OOD 22 8 0 22 Aug 2022
The Causal Structure of Domain Invariant Supervised Representation Learning Zihao W. Wang Victor Veitch CML OOD 6 3 0 15 Aug 2022
Combating Label Distribution Shift for Active Domain Adaptation S. Hwang Sohyun Lee Sungyeon Kim Jungseul Ok Suha Kwak 27 18 0 13 Aug 2022
Factorizable Joint Shift in Multinomial Classification Dirk Tasche 8 2 0 29 Jul 2022
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners Anthony Sicilia Katherine Atwell Malihe Alikhani Seong Jae Hwang BDL 51 9 0 12 Jul 2022
Gradual Domain Adaptation without Indexed Intermediate Domains Hong-You Chen Wei-Lun Chao CLL 57 39 0 11 Jul 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 14 31 0 26 Jun 2022
Understanding new tasks through the lens of training data via exponential tilting Subha Maity Mikhail Yurochkin Moulinath Banerjee Yuekai Sun 29 10 0 26 May 2022
Multiple Domain Causal Networks Tianhui Zhou IV WilliamE.Carson M. H. Klein David Carlson CML 11 0 0 13 May 2022
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification M. Mendez-Ruiz F. Lopez-Tiro Jonathan El Beze V. Estrade G. Ochoa-Ruiz Jacques Hubert Andres Mendez-Vazquez C. Daul OOD 13 7 0 02 May 2022
Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation Yahao Liu Jinhong Deng Jiale Tao Tong Chu Lixin Duan Wen Li 25 21 0 12 Apr 2022
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error Katherine Atwell Anthony Sicilia Seong Jae Hwang Malihe Alikhani 11 16 0 21 Mar 2022
Adversarial Support Alignment Shangyuan Tong T. Garipov Yang Zhang Shiyu Chang Tommi Jaakkola 10 9 0 16 Mar 2022
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization Sofien Dhouib S. Maghsudi 26 2 0 09 Mar 2022
Domain Adaptation with Factorizable Joint Shift Hao He Yuzhe Yang Hao Wang TTA 18 5 0 06 Mar 2022
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm You-Wei Luo Chuan-Xian Ren 25 2 0 26 Feb 2022
Towards Unsupervised Domain Adaptation via Domain-Transformer Chuan-Xian Ren Yiteng Zhai You-Wei Luo Meng Li ViT 24 9 0 24 Feb 2022
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity Shogo Sagawa H. Hino CLL 29 6 0 09 Feb 2022
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 61 19 0 27 Jan 2022
Gap Minimization for Knowledge Sharing and Transfer Boyu Wang Jorge Armando Mendez Mendez Changjian Shui Fan Zhou Di Wu Gezheng Xu Christian Gagné Eric Eaton 18 10 0 26 Jan 2022
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation Renchunzi Xie Hongxin Wei Lei Feng Bo An 21 11 0 16 Jan 2022
Domain-shift adaptation via linear transformations R. Vega Russell Greiner OOD 17 2 0 14 Jan 2022
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton Behnam Neyshabur Hanie Sedghi OODD OOD 37 124 0 11 Jan 2022
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 20 68 0 31 Dec 2021
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift Amitangshu Mukherjee Isha Garg Kaushik Roy 6 5 0 20 Dec 2021
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation David Acuna Jonah Philion Sanja Fidler OOD 14 16 0 15 Nov 2021
On Label Shift in Domain Adaptation via Wasserstein Distance Trung Le Dat Do Tuan Nguyen Huy Nguyen Hung Bui Nhat Ho Dinh Q. Phung 11 3 0 29 Oct 2021
Mapping conditional distributions for domain adaptation under generalized target shift Matthieu Kirchmeyer A. Rakotomamonjy Emmanuel de Bézenac Patrick Gallinari OOD 8 22 0 26 Oct 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth Xinjie Fan Huangjie Zheng Shujian Zhang A. Leon-Garcia Bo Chen Mingyuan Zhou 44 102 0 22 Oct 2021
FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation Yan Shen Jianguo Du Hao Zhang Benyu Zhang Zhanghexuan Ji Mingchen Gao FedML 29 13 0 16 Oct 2021
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment Yin Zhao Minquan Wang Longjun Cai OOD 28 9 0 13 Oct 2021
On the inductive biases of deep domain adaptation Rodrigue Siry Louis Hémadou Loïc Simon F. Jurie 21 3 0 16 Sep 2021
Variational Disentanglement for Domain Generalization Yufei Wang Haoliang Li Hao Cheng Bihan Wen Lap-Pui Chau Alex C. Kot OOD DRL 22 24 0 13 Sep 2021
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal Lei Zhu Zhaojing Luo Wei Wang Mei-juan Zhang Gang Chen Kaiping Zheng 23 1 0 09 Sep 2021
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation Yanchao Yang Hanxiang Ren He-Nan Wang Bokui Shen Qingnan Fan Youyi Zheng C. Karen Liu Leonidas J. Guibas 25 0 0 29 Jul 2021
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate Xiaofeng Liu Zhenhua Guo Site Li Fangxu Xing J. You C.-C. Jay Kuo G. El Fakhri Jonghye Woo 25 74 0 28 Jul 2021
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference Xiaofeng Liu Bo Hu Linghao Jin Xu Han Fangxu Xing J. Ouyang Jun Lu G. El Fakhri Jonghye Woo OOD BDL 33 30 0 22 Jul 2021
Online Adaptation to Label Distribution Shift Ruihan Wu Chuan Guo Yi-Hsun Su Kilian Q. Weinberger 13 47 0 09 Jul 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm AAML 17 22 0 08 Jul 2021
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer Xiaodong Wang Junbao Zhuo Shuhao Cui Shuhui Wang 19 6 0 07 Jul 2021
Near-Optimal Linear Regression under Distribution Shift Qi Lei Wei Hu Jason D. Lee OOD 21 40 0 23 Jun 2021
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments Yining Chen Elan Rosenfeld Mark Sellke Tengyu Ma Andrej Risteski OOD 26 32 0 18 Jun 2021
KL Guided Domain Adaptation A. Nguyen Toan M. Tran Y. Gal Philip H. S. Torr A. G. Baydin OOD 26 38 0 14 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 32 105 0 11 Jun 2021
Quantifying and Improving Transferability in Domain Generalization Guojun Zhang Han Zhao Yaoliang Yu Pascal Poupart 35 37 0 07 Jun 2021
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift Etienne Bennequin Victor Bouvier Myriam Tami Antoine Toubhans C´eline Hudelot 17 12 0 25 May 2021
Aggregating From Multiple Target-Shifted Sources Changjian Shui Zijian Li Jiaqi Li Christian Gagné Charles X. Ling Boyu Wang 28 29 0 09 May 2021
Domain Invariant Representation Learning with Domain Density Transformations A. Nguyen Toan M. Tran Y. Gal A. G. Baydin OOD 24 74 0 09 Feb 2021
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve Anthony Sicilia Xingchen Zhao Seong Jae Hwang OOD AI4CE 19 73 0 07 Feb 2021