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Discover and Cure: Concept-aware Mitigation of Spurious Correlation

Discover and Cure: Concept-aware Mitigation of Spurious Correlation

1 May 2023
Shirley Wu
Mert Yuksekgonul
Linjun Zhang
James Y. Zou
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Papers citing "Discover and Cure: Concept-aware Mitigation of Spurious Correlation"

15 / 15 papers shown
Title
Concept-Based Unsupervised Domain Adaptation
Concept-Based Unsupervised Domain Adaptation
Xinyue Xu
Y. Hu
Hui Tang
Yi Qin
Lu Mi
Hao Wang
Xiaomeng Li
50
0
0
08 May 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
Zilin Dai
Lehong Wang
Fangzhou Lin
Yidong Wang
Zhigang Li
Kazunori D Yamada
Ziming Zhang
Wang Lu
122
0
0
21 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
B. Zhu
Jiequan Cui
H. Zhang
Chi Zhang
83
0
0
12 Mar 2025
Comprehensive Attribution: Inherently Explainable Vision Model with
  Feature Detector
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
Xianren Zhang
Dongwon Lee
Suhang Wang
VLM
FAtt
42
3
0
27 Jul 2024
Mind the Graph When Balancing Data for Fairness or Robustness
Mind the Graph When Balancing Data for Fairness or Robustness
Jessica Schrouff
Alexis Bellot
Amal Rannen-Triki
Alan Malek
Isabela Albuquerque
A. Gretton
Alexander DÁmour
Silvia Chiappa
OOD
CML
38
1
0
25 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Guangtao Zheng
Wenqian Ye
Aidong Zhang
40
0
0
15 Jun 2024
Seeing is not Believing: Robust Reinforcement Learning against Spurious
  Correlation
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
27
18
0
15 Jul 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Lorenz Linhardt
Klaus-Robert Muller
G. Montavon
AAML
23
7
0
12 Apr 2023
UMIX: Improving Importance Weighting for Subpopulation Shift via
  Uncertainty-Aware Mixup
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
Yatao Bian
P. Zhao
Bing Wu
Changqing Zhang
Jianhua Yao
50
34
0
19 Sep 2022
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Y. Zou
143
185
0
31 May 2022
Discovering Invariant Rationales for Graph Neural Networks
Discovering Invariant Rationales for Graph Neural Networks
Yingmin Wu
Xiang Wang
An Zhang
Xiangnan He
Tat-Seng Chua
OOD
AI4CE
93
223
0
30 Jan 2022
Unsupervised Learning of Debiased Representations with Pseudo-Attributes
Unsupervised Learning of Debiased Representations with Pseudo-Attributes
Seonguk Seo
Joon-Young Lee
Bohyung Han
FaML
66
48
0
06 Aug 2021
Gradient Matching for Domain Generalization
Gradient Matching for Domain Generalization
Yuge Shi
Jeffrey S. Seely
Philip H. S. Torr
Siddharth Narayanaswamy
Awni Y. Hannun
Nicolas Usunier
Gabriel Synnaeve
OOD
210
246
0
20 Apr 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
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
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,362
0
25 Aug 2016
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