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ExMap: Leveraging Explainability Heatmaps for Unsupervised Group
  Robustness to Spurious Correlations

ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations

20 March 2024
Rwiddhi Chakraborty
Adrian Sletten
Michael C. Kampffmeyer
ArXivPDFHTML

Papers citing "ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations"

13 / 13 papers shown
Title
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
74
126
0
20 Oct 2022
Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap
  Clustering
Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering
Lukas Schulth
Christian Berghoff
Matthias Neu
AAML
43
5
0
27 Apr 2022
BARACK: Partially Supervised Group Robustness With Guarantees
BARACK: Partially Supervised Group Robustness With Guarantees
N. Sohoni
Maziar Sanjabi
Nicolas Ballas
Aditya Grover
Shaoliang Nie
Hamed Firooz
Christopher Ré
OOD
59
24
0
31 Dec 2021
Just Train Twice: Improving Group Robustness without Training Group
  Information
Just Train Twice: Improving Group Robustness without Training Group Information
Emmy Liu
Behzad Haghgoo
Annie S. Chen
Aditi Raghunathan
Pang Wei Koh
Shiori Sagawa
Percy Liang
Chelsea Finn
OOD
77
553
0
19 Jul 2021
Examining and Combating Spurious Features under Distribution Shift
Examining and Combating Spurious Features under Distribution Shift
Chunting Zhou
Xuezhe Ma
Paul Michel
Graham Neubig
OOD
46
68
0
14 Jun 2021
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained
  Classification Problems
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
N. Sohoni
Jared A. Dunnmon
Geoffrey Angus
Albert Gu
Christopher Ré
56
248
0
25 Nov 2020
Large-Scale Methods for Distributionally Robust Optimization
Large-Scale Methods for Distributionally Robust Optimization
Daniel Levy
Y. Carmon
John C. Duchi
Aaron Sidford
56
212
0
12 Oct 2020
Shortcut Learning in Deep Neural Networks
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
179
2,023
0
16 Apr 2020
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
364
277
0
07 Oct 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really
  Learn
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin
S. Wäldchen
Alexander Binder
G. Montavon
Wojciech Samek
K. Müller
67
1,005
0
26 Feb 2019
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
538
21,613
0
22 May 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
115
5,920
0
04 Mar 2017
Statistics of Robust Optimization: A Generalized Empirical Likelihood
  Approach
Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach
John C. Duchi
Peter Glynn
Hongseok Namkoong
91
321
0
11 Oct 2016
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