Regularized Learning for Domain Adaptation under Label Shifts

22 March 2019

Kamyar Azizzadenesheli

Papers citing "Regularized Learning for Domain Adaptation under Label Shifts"

50 / 81 papers shown

Title
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs Gerardo Flores Alyssa H. Smith Julia A Fukuyama Ashia C. Wilson 44 0 0 17 Jun 2025
Understand the Effect of Importance Weighting in Deep Learning on Dataset Shift Thien Nhan Vo 96 0 0 06 May 2025
BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning Yu Zhou Bingyan Liu FedML OOD TTA 137 1 0 09 Mar 2025
A generalized approach to label shift: the Conditional Probability Shift Model Paweł Teisseyre J. Mielniczuk 157 0 0 04 Mar 2025
Structural Alignment Improves Graph Test-Time Adaptation Hans Hao-Hsun Hsu Shikun Liu Han Zhao Pan Li OOD TTA 311 0 0 25 Feb 2025
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift A. Nguyen Lam C. Tran Anh Tong Tuan-Duy H. Nguyen Toan M. Tran 94 1 0 31 Dec 2024
Contrastive Conditional Alignment based on Label Shift Calibration for Imbalanced Domain Adaptation Xiaona Sun Zhenyu Wu Zhiqiang Zhan Yang Ji 103 1 0 31 Dec 2024
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift Hwanwoo Kim Xin Zhang Jiwei Zhao Qinglong Tian OOD 63 2 0 29 Jan 2024
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms Keru Wu Yuansi Chen Wooseok Ha Ting Yu CML 85 2 0 19 Sep 2023
Trustworthy Representation Learning Across Domains Ronghang Zhu Dongliang Guo Daiqing Qi Zhixuan Chu Xiang Yu Sheng Li FaML AI4TS 102 2 0 23 Aug 2023
GeT: Generative Target Structure Debiasing for Domain Adaptation Can Zhang G. Lee DiffM 93 2 0 20 Aug 2023
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models Qinglong Tian Xin Zhang Jiwei Zhao VLM 68 9 0 30 May 2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach Zhangming Chan Yu Zhang Shuguang Han Yong Bai Xiang-Rong Sheng ... Jiacen Hu Baolin Liu Yuning Jiang Jian Xu Bo Zheng 75 11 0 22 May 2023
Minimum-Risk Recalibration of Classifiers Zeyu Sun Dogyoon Song Alfred Hero 90 7 0 18 May 2023
Continual Visual Reinforcement Learning with A Life-Long World Model Wendong Zhang Wendong Zhang Geng Chen Siyu Gao Yunbo Wang Xiaokang Yang Xiaokang Yang CLL 95 3 0 12 Mar 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 108 33 0 06 Feb 2023
Adapting to Latent Subgroup Shifts via Concepts and Proxies Ibrahim Alabdulmohsin Nicole Chiou Alexander DÁmour Arthur Gretton Sanmi Koyejo Matt J. Kusner Stephen Pfohl Olawale Salaudeen Jessica Schrouff Katherine Tsai 135 11 0 21 Dec 2022
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy Cuong N.Nguyen L. Ho Vu C. Dinh Tal Hassner Cuong V.Nguyen 66 4 0 13 Sep 2022
Learning Invariant Representations under General Interventions on the Response Kang Du Yu Xiang OOD 105 8 0 22 Aug 2022
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19 Zhenrui Yue Huimin Zeng Ziyi Kou Lanyu Shang Dong Wang 86 34 0 20 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 117 207 0 15 Aug 2022
Unsupervised Learning under Latent Label Shift Manley Roberts P. Mani Saurabh Garg Zachary Chase Lipton OOD 133 9 0 26 Jul 2022
Domain Adaptation under Open Set Label Shift Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton OOD VLM 85 42 0 26 Jul 2022
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift Wenao Ma Cheng Chen Shuang Zheng Jin Qin Huimao Zhang Qi Dou OOD 193 23 0 02 Jul 2022
Federated Learning under Distributed Concept Drift Ellango Jothimurugesan Kevin Hsieh Jianyu Wang Gauri Joshi Phillip B. Gibbons FedML 108 50 0 01 Jun 2022
Understanding new tasks through the lens of training data via exponential tilting Subha Maity Mikhail Yurochkin Moulinath Banerjee Yuekai Sun 104 10 0 26 May 2022
Multiple Domain Causal Networks Tianhui Zhou IV WilliamE.Carson M. H. Klein David Carlson CML 37 0 0 13 May 2022
Modular Domain Adaptation Junshen K. Chen Dallas Card Dan Jurafsky 56 1 0 26 Apr 2022
From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors Firas Bayram Bestoun S. Ahmed A. Kassler 73 225 0 21 Mar 2022
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation Jingyao Wang Jiangmeng Li C. Zheng Fuchun Sun Hui Xiong 39 25 0 08 Mar 2022
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 132 19 0 27 Jan 2022
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton Behnam Neyshabur Hanie Sedghi OODD OOD 101 131 0 11 Jan 2022
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 122 491 0 24 Nov 2021
Mixture Proportion Estimation and PU Learning: A Modern Approach Saurabh Garg Yifan Wu Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton 69 53 0 01 Nov 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth Xinjie Fan Huangjie Zheng Shujian Zhang A. Leon-Garcia Bo Chen Mingyuan Zhou 141 103 0 22 Oct 2021
Did the Model Change? Efficiently Assessing Machine Learning API Shifts Lingjiao Chen Tracy Cai Matei A. Zaharia James Zou 60 17 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 Xiaofeng Liu Jonghye Woo 123 74 0 28 Jul 2021
Model Transferability With Responsive Decision Subjects Yatong Chen Zeyu Tang Kun Zhang Yang Liu 130 10 0 13 Jul 2021
Online Adaptation to Label Distribution Shift Ruihan Wu Chuan Guo Yi-Hsun Su Kilian Q. Weinberger 70 48 0 09 Jul 2021
Ensembling Shift Detectors: an Extensive Empirical Evaluation Simona Maggio L. Dreyfus-Schmidt AI4TS 104 3 0 28 Jun 2021
The Hitchhiker's Guide to Prior-Shift Adaptation Tomas Sipka Milan Šulc Jirí Matas VLM 60 16 0 22 Jun 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
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts Bahar Taşkesen Man-Chung Yue Jose H. Blanchet Daniel Kuhn Viet Anh Nguyen 91 21 0 01 Jun 2021
Adaptive Methods for Real-World Domain Generalization Abhimanyu Dubey Vignesh Ramanathan Alex Pentland D. Mahajan OOD 110 92 0 29 Mar 2021
Understanding the role of importance weighting for deep learning Da Xu Yuting Ye Chuanwei Ruan FAtt 95 44 0 28 Mar 2021
Distribution-free uncertainty quantification for classification under label shift Aleksandr Podkopaev Aaditya Ramdas UQCV 84 88 0 04 Mar 2021
Multi-task Learning by Leveraging the Semantic Information Fan Zhou B. Chaib-draa Boyu Wang 72 12 0 03 Mar 2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training Kai Sheng Tai Peter Bailis Gregory Valiant OT 77 44 0 17 Feb 2021
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation Viraj Prabhu Shivam Khare Deeksha Kartik Judy Hoffman 114 135 0 21 Dec 2020