Rethinking Importance Weighting for Deep Learning under Distribution Shift

8 June 2020

Papers citing "Rethinking Importance Weighting for Deep Learning under Distribution Shift"

22 / 22 papers shown

Title
FRET: Feature Redundancy Elimination for Test Time Adaptation Linjing You Jiabao Lu Xiayuan Huang Xiangli Nie 14 0 0 15 May 2025
Test-time Correlation Alignment Linjing You Jiabao Lu Xiayuan Huang OOD 75 0 0 01 May 2025
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization Behraj Khan Behroz Mirza Nouman Durrani T. Syed 60 0 0 18 Feb 2025
Physics-Driven AI Correction in Laser Absorption Sensing Quantification Ruiyuan Kang P. Liatsis Meixia Geng Qingjie Yang 45 0 0 20 Aug 2024
biquality-learn: a Python library for Biquality Learning Pierre Nodet V. Lemaire A. Bondu Antoine Cornuéjols 14 0 0 18 Aug 2023
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices Liang Wang Nan Zhang Xiaoyang Qu Jianzong Wang Ji-guang Wan Guokuan Li Kaiyu Hu Guilin Jiang Jing Xiao 20 2 0 17 Aug 2023
NSA: Naturalistic Support Artifact to Boost Network Confidence Abhijith Sharma Phil Munz Apurva Narayan AAML 30 1 0 27 Jul 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 24 1 0 07 Jun 2023
Information Geometrically Generalized Covariate Shift Adaptation Masanari Kimura H. Hino OOD 11 5 0 19 Apr 2023
Performative Prediction with Neural Networks Mehrnaz Mofakhami Ioannis Mitliagkas Gauthier Gidel 40 16 0 14 Apr 2023
When is Importance Weighting Correction Needed for Covariate Shift Adaptation? Davit Gogolashvili Matteo Zecchin Motonobu Kanagawa Marios Kountouris Maurizio Filippone 30 6 0 07 Mar 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data Alicia Curth M. Schaar CML 10 3 0 23 Feb 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 39 60 0 24 Jan 2023
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization Yufan Liao Qi Wu Zhaodi Wu Xing Yan 13 4 0 18 Nov 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 39 7 0 19 Sep 2022
Operationalizing Machine Learning: An Interview Study Shreya Shankar Rolando Garcia J. M. Hellerstein Aditya G. Parameswaran 71 51 0 16 Sep 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification D. Guo Zhuo Li Meixi Zheng He Zhao Mingyuan Zhou H. Zha 34 24 0 05 Aug 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise Yuyin Zhou Xianhang Li Fengze Liu Qingyue Wei Xuxi Chen Lequan Yu Cihang Xie M. Lungren Lei Xing NoLa 39 3 0 09 Feb 2022
Mandoline: Model Evaluation under Distribution Shift Mayee F. Chen Karan Goel N. Sohoni Fait Poms Kayvon Fatahalian Christopher Ré 28 69 0 01 Jul 2021
Learning Bounds for Open-Set Learning Zhen Fang Jie Lu Anjin Liu Feng Liu Guangquan Zhang 18 60 0 30 Jun 2021
Understanding the role of importance weighting for deep learning Da Xu Yuting Ye Chuanwei Ruan FAtt 31 43 0 28 Mar 2021
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 103 34 0 08 Dec 2020