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Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases

Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases

9 March 2023
Aengus Lynch
G. Dovonon
Jean Kaddour
Ricardo M. A. Silva
ArXivPDFHTML

Papers citing "Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases"

30 / 30 papers shown
Title
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
Mishal Fatima
Steffen Jung
M. Keuper
45
0
0
06 May 2025
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models
Gergely Németh
Eros Fani
Yeat Jeng Ng
Barbara Caputo
M. Lozano
Nuria Oliver
Novi Quadrianto
FedML
36
0
0
15 Apr 2025
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
Gesina Schwalbe
Georgii Mikriukov
Edgar Heinert
Stavros Gerolymatos
Mert Keser
Alois Knoll
Matthias Rottmann
Annika Mütze
36
0
0
11 Apr 2025
Teaching Humans Subtle Differences with DIFFusion
Teaching Humans Subtle Differences with DIFFusion
Mia Chiquier
Orr Avrech
Yossi Gandelsman
Berthy Feng
Katherine Bouman
Carl Vondrick
DiffM
51
0
0
10 Apr 2025
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
Michael-Andrei Panaitescu-Liess
Yigitcan Kaya
Sicheng Zhu
Furong Huang
Tudor Dumitras
AAML
37
0
0
02 Apr 2025
Do Vision Models Develop Human-Like Progressive Difficulty Understanding?
Do Vision Models Develop Human-Like Progressive Difficulty Understanding?
Zeyi Huang
Utkarsh Ojha
Yuyang Ji
Donghyun Lee
Yong Jae Lee
OOD
VLM
Presented at ResearchTrend Connect | VLM on 07 May 2025
109
0
1
17 Mar 2025
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language
  Models
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models
Ming-Chang Chiu
Shicheng Wen
Pin-Yu Chen
Xuezhe Ma
82
0
0
05 Dec 2024
WASP: A Weight-Space Approach to Detecting Learned Spuriousness
WASP: A Weight-Space Approach to Detecting Learned Spuriousness
Cristian Daniel Păduraru
Antonio Bărbălău
Radu Filipescu
Andrei Liviu Nicolicioiu
Elena Burceanu
30
0
0
24 Oct 2024
Visual Data Diagnosis and Debiasing with Concept Graphs
Visual Data Diagnosis and Debiasing with Concept Graphs
Rwiddhi Chakraborty
Yinong Wang
Jialu Gao
Runkai Zheng
Cheng Zhang
Fernando de la Torre
37
2
0
26 Sep 2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut
  Learning in Text Classification by Language Models
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models
Yuqing Zhou
Ruixiang Tang
Ziyu Yao
Ziwei Zhu
42
2
0
26 Sep 2024
UnLearning from Experience to Avoid Spurious Correlations
UnLearning from Experience to Avoid Spurious Correlations
Jeff Mitchell
Jesús Martínez del Rincón
Niall McLaughlin
38
0
0
04 Sep 2024
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic
  Protein Design
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design
Natavsa Tagasovska
Ji Won Park
Matthieu Kirchmeyer
Nathan C. Frey
Andrew Watkins
...
Arian R. Jamasb
Edith Lee
Tyler Bryson
Stephen Ra
Kyunghyun Cho
OOD
44
6
0
15 Jul 2024
Quantifying Spuriousness of Biased Datasets Using Partial Information
  Decomposition
Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition
Barproda Halder
Faisal Hamman
Pasan Dissanayake
Qiuyi Zhang
Ilia Sucholutsky
Sanghamitra Dutta
46
2
0
29 Jun 2024
A Multimodal Automated Interpretability Agent
A Multimodal Automated Interpretability Agent
Tamar Rott Shaham
Sarah Schwettmann
Franklin Wang
Achyuta Rajaram
Evan Hernandez
Jacob Andreas
Antonio Torralba
39
18
0
22 Apr 2024
A Survey on Evaluation of Out-of-Distribution Generalization
A Survey on Evaluation of Out-of-Distribution Generalization
Han Yu
Jiashuo Liu
Xingxuan Zhang
Jiayun Wu
Peng Cui
OOD
47
8
0
04 Mar 2024
Spurious Correlations in Machine Learning: A Survey
Spurious Correlations in Machine Learning: A Survey
Wenqian Ye
Guangtao Zheng
Xu Cao
Yunsheng Ma
Aidong Zhang
OOD
AAML
CML
39
35
0
20 Feb 2024
Robustness May be More Brittle than We Think under Different Degrees of
  Distribution Shifts
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
Kaican Li
Yifan Zhang
Lanqing Hong
Zhenguo Li
Nevin L. Zhang
OOD
41
0
0
10 Oct 2023
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples
  for Image-Text Pairs
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
Tiep Le
Vasudev Lal
Phillip Howard
DiffM
39
21
0
23 Sep 2023
Challenges and Opportunities in Improving Worst-Group Generalization in Presence of Spurious Features
Challenges and Opportunities in Improving Worst-Group Generalization in Presence of Spurious Features
S. Joshi
Yu Yang
Yihao Xue
Wenhan Yang
Baharan Mirzasoleiman
44
2
0
21 Jun 2023
Rethinking the Evaluation Protocol of Domain Generalization
Rethinking the Evaluation Protocol of Domain Generalization
Han Yu
Xingxuan Zhang
Renzhe Xu
Jiashuo Liu
Yue He
Peng Cui
OOD
35
7
0
24 May 2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and
  Text-to-Image Models
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Yuwei Yin
Jean Kaddour
Xiang Zhang
Yixin Nie
Zhenguang Liu
Lingpeng Kong
Qi Liu
DiffM
34
9
0
18 Apr 2023
The MiniPile Challenge for Data-Efficient Language Models
The MiniPile Challenge for Data-Efficient Language Models
Jean Kaddour
MoE
ALM
26
40
0
17 Apr 2023
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world
  Datasets
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets
Damien Teney
Yong Lin
Seong Joon Oh
Ehsan Abbasnejad
OOD
391
47
0
01 Sep 2022
Diverse Weight Averaging for Out-of-Distribution Generalization
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
199
128
0
19 May 2022
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
233
203
0
21 Oct 2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty
  Awareness
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
Zhenyi Wang
Tiehang Duan
Le Fang
Qiuling Suo
Mingchen Gao
196
18
0
29 Sep 2021
Causal Effect Inference for Structured Treatments
Causal Effect Inference for Structured Treatments
Jean Kaddour
Yuchen Zhu
Qi Liu
Matt J. Kusner
Ricardo M. A. Silva
CML
182
50
0
03 Jun 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
424
0
17 Feb 2021
Does Invariant Risk Minimization Capture Invariance?
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
206
125
0
04 Jan 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
907
0
02 Mar 2020
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