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BARACK: Partially Supervised Group Robustness With Guarantees

BARACK: Partially Supervised Group Robustness With Guarantees

31 December 2021
N. Sohoni
Maziar Sanjabi
Nicolas Ballas
Aditya Grover
Shaoliang Nie
Hamed Firooz
Christopher Ré
    OOD
ArXivPDFHTML

Papers citing "BARACK: Partially Supervised Group Robustness With Guarantees"

19 / 19 papers shown
Title
Gradient Extrapolation for Debiased Representation Learning
Gradient Extrapolation for Debiased Representation Learning
Ihab Asaad
M. Shadaydeh
Joachim Denzler
41
0
0
17 Mar 2025
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning
Jingchen Sun
Rohan Sharma
Vishnu Suresh Lokhande
Changyou Chen
36
0
0
22 Jul 2024
Out of spuriousity: Improving robustness to spurious correlations
  without group annotations
Out of spuriousity: Improving robustness to spurious correlations without group annotations
Phuong Quynh Le
Jorg Schlotterer
Christin Seifert
CML
OOD
40
2
0
20 Jul 2024
Improving Group Robustness on Spurious Correlation Requires Preciser
  Group Inference
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference
Yujin Han
Difan Zou
AAML
29
3
0
22 Apr 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks
Can Rager
Eric J. Michaud
Yonatan Belinkov
David Bau
Aaron Mueller
46
112
0
28 Mar 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group
  Robustness to Spurious Correlations
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
Rwiddhi Chakraborty
Adrian Sletten
Michael C. Kampffmeyer
34
0
0
20 Mar 2024
Annotation-Free Group Robustness via Loss-Based Resampling
Annotation-Free Group Robustness via Loss-Based Resampling
Mahdi Ghaznavi
Hesam Asadollahzadeh
Hamidreza Yaghoubi Araghi
Fahimeh Hosseini Noohdani
M. Rohban
M. Baghshah
OOD
20
2
0
08 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing Everything
FRAPPE: A Group Fairness Framework for Post-Processing Everything
Alexandru Tifrea
Preethi Lahoti
Ben Packer
Yoni Halpern
Ahmad Beirami
Flavien Prost
47
6
0
05 Dec 2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained
  Large Models Fine-Tuning
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning
Shuoran Jiang
Qingcai Chen
Yang Xiang
Youcheng Pan
Xiangping Wu
AI4CE
21
0
0
24 Oct 2023
Mitigating Simplicity Bias in Deep Learning for Improved OOD
  Generalization and Robustness
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness
Bhavya Vasudeva
Kameron Shahabi
Vatsal Sharan
32
2
0
09 Oct 2023
Towards Last-layer Retraining for Group Robustness with Fewer
  Annotations
Towards Last-layer Retraining for Group Robustness with Fewer Annotations
Tyler LaBonte
Vidya Muthukumar
Abhishek Kumar
38
36
0
15 Sep 2023
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious
  Correlations?
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
Phuong Quynh Le
Jorg Schlotterer
Christin Seifert
OOD
16
6
0
01 Aug 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting
Simple and Fast Group Robustness by Automatic Feature Reweighting
Shi Qiu
Andres Potapczynski
Pavel Izmailov
A. Wilson
OOD
62
53
0
19 Jun 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
Pushing the Accuracy-Group Robustness Frontier with Introspective
  Self-play
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
J. Liu
Krishnamurthy Dvijotham
Jihyeon Janel Lee
Quan Yuan
Martin Strobel
Balaji Lakshminarayanan
Deepak Ramachandran
23
5
0
11 Feb 2023
Breaking the Spurious Causality of Conditional Generation via Fairness
  Intervention with Corrective Sampling
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling
J. Nam
Sangwoo Mo
Jaeho Lee
Jinwoo Shin
26
7
0
05 Dec 2022
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions
  with "Spurious" Correlations
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations
Qingyao Sun
Kevin Murphy
S. Ebrahimi
Alexander DÁmour
OOD
VLM
24
9
0
28 Nov 2022
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
34
117
0
20 Oct 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
34
316
0
06 Apr 2022
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