Model Agnostic Sample Reweighting for Out-of-Distribution Learning

24 January 2023

Xiao Zhou

Yong Lin

Renjie Pi

Weizhong Zhang

Renzhe Xu

Peng Cui

Tong Zhang

OODD

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Papers citing "Model Agnostic Sample Reweighting for Out-of-Distribution Learning"

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Title
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 31 0 0 11 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 67 1 0 24 Apr 2025
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions Rui Qiao Zhaoxuan Wu Jingtan Wang Pang Wei Koh Bryan Kian Hsiang Low OOD 53 2 0 10 Mar 2025
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data Zengqun Zhao Ziquan Liu Yu Cao Shaogang Gong Ioannis Patras 50 0 0 07 Mar 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization Jiaqi Wang Yuhang Zhou Zhixiong Zhang Qiguang Chen Yongqiang Chen James Cheng OODD 58 1 0 18 Feb 2025
Mitigating Spurious Correlations via Disagreement Probability Hyeonggeun Han Sehwan Kim Hyungjun Joo Sangwoo Hong Jungwoo Lee 36 1 0 04 Nov 2024
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning Jimeng Shi Azam Shirali Giri Narasimhan AI4TS 41 0 0 21 Sep 2024
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting Rui Pan Jipeng Zhang Xingyuan Pan Renjie Pi Xiaoyu Wang Tong Zhang 52 5 0 28 Jun 2024
Image Textualization: An Automatic Framework for Creating Accurate and Detailed Image Descriptions Renjie Pi Jianshu Zhang Jipeng Zhang Rui Pan Zhekai Chen Tong Zhang 3DV 47 19 0 11 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 41 1 0 01 Jun 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 55 3 0 23 May 2024
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization Chris Junchi Li 56 0 0 01 May 2024
Improving Generalization via Meta-Learning on Hard Samples Nishant Jain A. Suggala Pradeep Shenoy OOD OffRL 29 2 0 18 Mar 2024
Distributionally Generative Augmentation for Fair Facial Attribute Classification Fengda Zhang Qianpei He Kun Kuang Jiashuo Liu Long Chen Chao-Xiang Wu Jun Xiao Hanwang Zhang CVBM 42 8 0 11 Mar 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 39 6 0 26 Jan 2024
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization Songming Zhang Yuxiao Luo Qizhou Wang Haoang Chi Xiaofeng Chen Bo Han Jinyan Li OODD 30 0 0 25 Dec 2023
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection Weihua Liu Lin Li Chaochao Lin Said Boumaraf CVBM 28 0 0 08 Oct 2023
FACTS: First Amplify Correlations and Then Slice to Discover Bias Sriram Yenamandra Baifeng Shi Trevor Darrell Judy Hoffman CML 23 22 0 29 Sep 2023
Spurious Feature Diversification Improves Out-of-distribution Generalization Yong Lin Lu Tan Yifan Hao Honam Wong Hanze Dong Weizhong Zhang Yujiu Yang Tong Zhang OODD 30 24 0 29 Sep 2023
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing Zhihao Hu Yiran Xu Mengnan Du Jindong Gu Xinmei Tian Fengxiang He 28 1 0 15 Sep 2023
Road Disease Detection based on Latent Domain Background Feature Separation and Suppression Juwu Zheng Jiangtao Ren 24 2 0 14 Sep 2023
Mitigating the Alignment Tax of RLHF Yong Lin Hangyu Lin Wei Xiong Shizhe Diao Zeming Zheng ... Han Zhao Nan Jiang Heng Ji Yuan Yao Tong Zhang MoMe CLL 29 65 0 12 Sep 2023
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning Yong Lin Chen Liu Chen Ye Qing Lian Yuan Yao Tong Zhang 27 4 0 05 Sep 2023
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles Le‐Yu Chen Yaohua Ma J. Zhang 84 2 0 26 Jun 2023
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? Rui Yang Yong Lin Xiaoteng Ma Haotian Hu Chongjie Zhang Tong Zhang OffRL 21 22 0 30 May 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Yunze Tong Junkun Yuan Min Zhang Di-hua Zhu Keli Zhang Fei Wu Kun Kuang 28 7 0 25 May 2023
Rethinking the Evaluation Protocol of Domain Generalization Han Yu Xingxuan Zhang Renzhe Xu Jiashuo Liu Yue He Peng Cui OOD 24 7 0 24 May 2023
Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy Label Learning Wenhai Wan Xinrui Wang Ming-Kun Xie Shao-Yuan Li Sheng-Jun Huang Songcan Chen 33 8 0 07 May 2023
Predictive Heterogeneity: Measures and Applications Jiashuo Liu Jiayun Wu B. Li Peng Cui 14 1 0 01 Apr 2023
Probabilistic Bilevel Coreset Selection Xiao Zhou Renjie Pi Weizhong Zhang Yong Lin Tong Zhang NoLa 25 27 0 24 Jan 2023
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis Le‐Yu Chen Jing Xu J. Zhang 29 11 0 02 Jan 2023
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 26 2 0 12 Dec 2022
Stable Learning via Sparse Variable Independence Han Yu Peng Cui Yue He Zheyan Shen Yong Lin Renzhe Xu Xingxuan Zhang OOD 40 13 0 02 Dec 2022
Out-of-Distribution Representation Learning for Time Series Classification Wang Lu Jindong Wang Xinwei Sun Yiqiang Chen Xingxu Xie OODD OOD 27 34 0 15 Sep 2022
Breaking Correlation Shift via Conditional Invariant Regularizer Mingyang Yi Ruoyu Wang Jiacheng Sun Zhenguo Li Zhi-Ming Ma OODD 20 5 0 14 Jul 2022
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space Wenqi Shao Xun Zhao Yixiao Ge Zhaoyang Zhang Lei Yang Xiaogang Wang Ying Shan Ping Luo 19 26 0 07 Jul 2022
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning Jiahui Gao Renjie Pi Yong Lin Hang Xu Jiacheng Ye Zhiyong Wu Weizhong Zhang Xiaodan Liang Zhenguo Li Lingpeng Kong SyDa VLM 65 45 0 25 May 2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving Kaican Li Kai Chen Haoyu Wang Lanqing Hong Chao Ye ... Chunjing Xu Dit-Yan Yeung Xiaodan Liang Zhenguo Li Hang Xu 32 97 0 15 Mar 2022
ZIN: When and How to Learn Invariance Without Environment Partition? Yong Lin Shengyu Zhu Lu Tan Peng Cui OOD CML 11 64 0 11 Mar 2022
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization Renzhe Xu Xingxuan Zhang Zheyan Shen Tong Zhang Peng Cui OOD 24 26 0 03 Nov 2021
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation Lewei Yao Renjie Pi Hang Xu Wei Zhang Zhenguo Li Tong Zhang 86 38 0 27 May 2021
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator Max B. Paulus Chris J. Maddison Andreas Krause BDL 39 38 0 09 Oct 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 149 371 0 09 May 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 201 0 22 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017