Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment

5 March 2019

Papers citing "Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment"

50 / 83 papers shown

Title
Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models Taj Jones-McCormick Aukosh Jagannath S. Sen 58 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 49 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 55 1 0 31 Dec 2024
Measuring Distributional Shifts in Text: The Advantage of Language Model-Based Embeddings Gyandev Gupta Bashir Rastegarpanah Amalendu Iyer Joshua Rubin K. Kenthapadi 40 2 0 04 Dec 2023
centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation Xiaona Sun Zhenyu Wu Yichen Liu Saier Hu Zhiqiang Zhan Yang Ji 29 1 0 21 Aug 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding Jiangmeng Li Hang Gao Jingyao Wang Changwen Zheng 27 2 0 21 Aug 2023
GeT: Generative Target Structure Debiasing for Domain Adaptation Can Zhang G. Lee DiffM 44 2 0 20 Aug 2023
Taxonomy-Structured Domain Adaptation Tianyi Liu Zihao Xu Hao He Guang-Yuan Hao Guang-He Lee Hao Wang TTA OOD 57 7 0 13 Jun 2023
Partial Identifiability for Domain Adaptation Lingjing Kong Shaoan Xie Weiran Yao Yujia Zheng Guan-Hong Chen P. Stojanov Victor Akinwande Kun Zhang 58 9 0 10 Jun 2023
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models Yule Wang Zijing Wu Chengrui Li Anqi Wu DiffM 43 11 0 09 Jun 2023
Structural Re-weighting Improves Graph Domain Adaptation Shikun Liu Tianchun Li Yongbin Feng Nhan Tran Haiying Zhao Qiu Qiang Pan Li OOD AI4CE 27 36 0 05 Jun 2023
Are demographically invariant models and representations in medical imaging fair? Eike Petersen Enzo Ferrante M. Ganz Aasa Feragen MedIm 55 10 0 02 May 2023
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints Rajshekhar Das Jonathan M Francis Sanket Vaibhav Mehta Jean Oh Emma Strubell Jose Moura 17 1 0 29 Apr 2023
Unsupervised domain adaptation by learning using privileged information Adam Breitholtz Anton Matsson Fredrik D. Johansson OOD 27 2 0 16 Mar 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks Adam Breitholtz Fredrik D. Johansson OOD 28 1 0 15 Mar 2023
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching Lantao Yu Tianhe Yu Jiaming Song Willie Neiswanger Stefano Ermon OffRL 71 16 0 05 Mar 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 33 31 0 06 Feb 2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation P. Xu Boyu Wang Charles Ling 40 6 0 03 Feb 2023
Augmenting Knowledge Transfer across Graphs Yuzhen Mao Jianhui Sun Dawei Zhou 40 1 0 09 Dec 2022
AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced Attention for Unsupervised Domain Adaptation Xinyao Shu Shiyang Yan Zhenyu Lu Xinshao Wang Yuan Xie 22 2 0 16 Nov 2022
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity Jiangmeng Li Jingyao Wang Changwen Zheng Fuchun Sun Farid Razzak Ji-Rong Wen Hui Xiong 29 7 0 16 Sep 2022
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection Abhay Rawat Isha Dua Saurav Gupta Rahul Tallamraju 17 1 0 05 Sep 2022
Subtype-Aware Dynamic Unsupervised Domain Adaptation Xiaofeng Liu Fangxu Xing Jane You Jun Lu C.-C. Jay Kuo Xiaofeng Liu Jonghye Woo OOD 44 6 0 16 Aug 2022
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives Xiaofeng Liu Chaehwa Yoo Fangxu Xing Hyejin Oh Xiaofeng Liu Je-Won Kang Jonghye Woo OOD 46 193 0 15 Aug 2022
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift Jingfeng Wu Difan Zou Vladimir Braverman Quanquan Gu Sham Kakade 24 16 0 03 Aug 2022
Modeling Non-Cooperative Dialogue: Theoretical and Empirical Insights Anthony Sicilia Tristan D. Maidment Pat Healy Malihe Alikhani 14 3 0 15 Jul 2022
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners Anthony Sicilia Katherine Atwell Malihe Alikhani Seong Jae Hwang BDL 56 9 0 12 Jul 2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation Quanyu Long Tianze Luo Wenya Wang Sinno Jialin Pan 59 8 0 10 Jul 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 26 31 0 26 Jun 2022
Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach Yueqing Liang Canyu Chen Tian Tian Kai Shu FaML 18 9 0 08 Jun 2022
A Human-Centric Take on Model Monitoring Murtuza N. Shergadwala Himabindu Lakkaraju K. Kenthapadi 48 9 0 06 Jun 2022
Algorithms and Theory for Supervised Gradual Domain Adaptation Jing Dong Shiji Zhou Baoxiang Wang Haiying Zhao OOD 31 7 0 25 Apr 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 23 22 0 09 Apr 2022
Task-specific Inconsistency Alignment for Domain Adaptive Object Detection Liang Zhao Limin Wang 35 74 0 29 Mar 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 19 16 0 21 Mar 2022
Adversarial Support Alignment Shangyuan Tong T. Garipov Yang Zhang Shiyu Chang Tommi Jaakkola 26 9 0 16 Mar 2022
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization Sofien Dhouib S. Maghsudi 50 2 0 09 Mar 2022
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation Jingyao Wang Jiangmeng Li C. Zheng Fuchun Sun Hui Xiong 24 25 0 08 Mar 2022
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation Yi-Fan Zhang Hanlin Zhang Zachary Chase Lipton Li Erran Li Eric P. Xing OODD 33 30 0 02 Feb 2022
Certifying Model Accuracy under Distribution Shifts Aounon Kumar Alexander Levine Tom Goldstein S. Feizi OOD 29 7 0 28 Jan 2022
FRuDA: Framework for Distributed Adversarial Domain Adaptation Shaoduo Gan Akhil Mathur Anton Isopoussu F. Kawsar N. Bianchi-Berthouze Nicholas D. Lane 19 12 0 26 Dec 2021
Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models David Nigenda Zohar Karnin Muhammad Bilal Zafar Raghu Ramesha Alan Tan Michele Donini K. Kenthapadi VLM 14 41 0 26 Nov 2021
Mapping conditional distributions for domain adaptation under generalized target shift Matthieu Kirchmeyer A. Rakotomamonjy Emmanuel de Bézenac Patrick Gallinari OOD 39 22 0 26 Oct 2021
Tracking the risk of a deployed model and detecting harmful distribution shifts Aleksandr Podkopaev Aaditya Ramdas 34 22 0 12 Oct 2021
Barycentric-alignment and reconstruction loss minimization for domain generalization Boyang Lyu Thuan Q. Nguyen Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 40 4 0 04 Sep 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 Xiaofeng Liu Jonghye Woo 36 74 0 28 Jul 2021
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer Xiaodong Wang Junbao Zhuo Shuhao Cui Shuhui Wang 21 6 0 07 Jul 2021
Near-Optimal Linear Regression under Distribution Shift Qi Lei Wei Hu Jason D. Lee OOD 27 41 0 23 Jun 2021
f-Domain-Adversarial Learning: Theory and Algorithms David Acuna Guojun Zhang M. Law Sanja Fidler FedML AI4CE 21 60 0 21 Jun 2021
Aggregating From Multiple Target-Shifted Sources Changjian Shui Zijian Li Jiaqi Li Christian Gagné Charles Ling Boyu Wang 41 29 0 09 May 2021