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Nuisances via Negativa: Adjusting for Spurious Correlations via Data
  Augmentation

Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation

4 October 2022
A. Puli
Nitish Joshi
Yoav Wald
Hera Y. He
Rajesh Ranganath
ArXivPDFHTML

Papers citing "Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation"

16 / 16 papers shown
Title
Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks
Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks
Martin Surner
Abdelmajid Khelil
Ludwig Bothmann
OOD
51
0
0
26 Feb 2025
Autoencoder based approach for the mitigation of spurious correlations
Autoencoder based approach for the mitigation of spurious correlations
Srinitish Srinivasan
Karthik Seemakurthy
27
0
0
27 Jun 2024
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to
  Address Shortcut Shifts in Natural Language Understanding
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding
Ukyo Honda
Tatsushi Oka
Peinan Zhang
Masato Mita
47
1
0
17 Jun 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
34
33
0
20 Feb 2024
Debiasing Multimodal Models via Causal Information Minimization
Debiasing Multimodal Models via Causal Information Minimization
Vaidehi Patil
A. Maharana
Mohit Bansal
CML
30
2
0
28 Nov 2023
Improving Compositional Generalization Using Iterated Learning and
  Simplicial Embeddings
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings
Yi Ren
Samuel Lavoie
Mikhail Galkin
Danica J. Sutherland
Aaron Courville
33
15
0
28 Oct 2023
Data Augmentations for Improved (Large) Language Model Generalization
Data Augmentations for Improved (Large) Language Model Generalization
Amir Feder
Yoav Wald
Claudia Shi
S. Saria
David M. Blei
OOD
CML
24
7
0
19 Oct 2023
Domain Generalization for Medical Image Analysis: A Survey
Domain Generalization for Medical Image Analysis: A Survey
Jee Seok Yoon
Kwanseok Oh
Yooseung Shin
Maciej A Mazurowski
Heung-Il Suk
LM&MA
OOD
35
8
0
05 Oct 2023
Out-of-Domain Robustness via Targeted Augmentations
Out-of-Domain Robustness via Targeted Augmentations
Irena Gao
Shiori Sagawa
Pang Wei Koh
Tatsunori Hashimoto
Percy Liang
OODD
OOD
22
21
0
23 Feb 2023
Robustness to Spurious Correlations Improves Semantic
  Out-of-Distribution Detection
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection
Lily H. Zhang
Rajesh Ranganath
OODD
19
6
0
08 Feb 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
48
34
0
19 Sep 2022
Understanding and Improving Robustness of Vision Transformers through
  Patch-based Negative Augmentation
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
Yao Qin
Chiyuan Zhang
Ting Chen
Balaji Lakshminarayanan
Alex Beutel
Xuezhi Wang
ViT
42
42
0
15 Oct 2021
Causal Estimation with Functional Confounders
Causal Estimation with Functional Confounders
A. Puli
A. Perotte
Rajesh Ranganath
29
12
0
17 Feb 2021
Negative Data Augmentation
Negative Data Augmentation
Abhishek Sinha
Kumar Ayush
Jiaming Song
Burak Uzkent
Hongxia Jin
Stefano Ermon
37
72
0
09 Feb 2021
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
146
370
0
09 May 2020
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
1