Online Adaptation to Label Distribution Shift

9 July 2021

Ruihan Wu

Papers citing "Online Adaptation to Label Distribution Shift"

31 / 31 papers shown

Title
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach Dheeraj Baby Boran Han Shuai Zhang Cuixiong Hu Yuyang Wang Yu-Xiang Wang OOD 53 0 0 09 Apr 2025
Fully Test-time Adaptation for Tabular Data Zhi-Hua Zhou Kun-Yang Yu Lan-Zhe Guo Yu Li TTA LMTD 92 0 0 14 Dec 2024
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture Ruidong Fan Xiao Ouyang Hong Tao Yuhua Qian Chenping Hou OOD 47 0 0 04 Nov 2024
An adaptive transfer learning perspective on classification in non-stationary environments Henry W J Reeve 36 0 0 28 May 2024
Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference Huaiguang Cai Zhi Zhou Qianyi Huang 42 3 0 25 May 2024
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift Nicolas Acevedo Carmen Cortez Christopher A. Brooks René F. Kizilcec Renzhe Yu 29 0 0 23 May 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 44 2 0 20 Feb 2024
Any-Shift Prompting for Generalization over Distributions Zehao Xiao Jiayi Shen Mohammad Mahdi Derakhshani Shengcai Liao Cees G. M. Snoek OOD VPVLM VLM 39 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 29 1 0 05 Feb 2024
Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao Tianxin Wei Haohan Wang Jingrui He TTA OOD 28 14 0 28 Oct 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data B. V. Breugel Nabeel Seedat F. Imrie M. Schaar SyDa 26 19 0 25 Oct 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization Yongyi Su Xun Xu K. Jia TTA 76 23 0 26 Sep 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
Prediction under Latent Subgroup Shifts with High-Dimensional Observations William I. Walker A. Gretton M. Sahani OOD 26 1 0 23 Jun 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms Dheeraj Baby Saurabh Garg Tzu-Ching Yen Sivaraman Balakrishnan Zachary Chase Lipton Yu-Xiang Wang 39 7 0 31 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 23 10 0 22 May 2023
A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets Ayman Elhalwagy T. Kalganova AI4TS 14 1 0 14 May 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang R. He Tien-Ping Tan OOD VLM TTA 35 203 0 27 Mar 2023
Learning to Adapt to Online Streams with Distribution Shifts Chenyan Wu Yimu Pan Yandong Li James Z. Wang TTA 27 3 0 02 Mar 2023
Active learning for data streams: a survey Davide Cacciarelli M. Kulahci 28 40 0 17 Feb 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation Yu-Jie Zhang Zhenyu Zhang Peng Zhao Masashi Sugiyama OOD 14 11 0 06 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 68 9 0 21 Dec 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
Time-Varying Propensity Score to Bridge the Gap between the Past and Present Rasool Fakoor Jonas W. Mueller Zachary Chase Lipton Pratik Chaudhari Alexander J. Smola OOD AI4TS 32 3 0 04 Oct 2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift Lingjiao Chen Matei A. Zaharia James Y. Zou 20 15 0 18 Sep 2022
Adapting to Online Label Shift with Provable Guarantees Yong Bai Yu-Jie Zhang Peng Zhao Masashi Sugiyama Zhi-Hua Zhou OOD 24 25 0 05 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 124 19 0 02 Jul 2022
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation Ji-Sun Moon Debasmit Das C. S. George Lee 25 6 0 24 Jun 2022
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 22 454 0 24 Nov 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 21 31 0 09 Jun 2021
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 789 0 19 Feb 2009