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An Empirical Study on Robustness to Spurious Correlations using
  Pre-trained Language Models

An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models

14 July 2020
Lifu Tu
Garima Lalwani
Spandana Gella
He He
    LRM
ArXivPDFHTML

Papers citing "An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models"

50 / 121 papers shown
Title
Think Twice: Measuring the Efficiency of Eliminating Prediction
  Shortcuts of Question Answering Models
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models
Lukávs Mikula
Michal vStefánik
Marek Petrovivc
Petr Sojka
41
3
0
11 May 2023
Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues
Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues
Alceu Bissoto
Catarina Barata
Eduardo Valle
Sandra Avila
OOD
27
4
0
09 May 2023
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing
Songyang Gao
Shihan Dou
Junjie Shan
Qi Zhang
Xuanjing Huang
CML
32
0
0
04 May 2023
Distributionally Robust Optimization with Probabilistic Group
Distributionally Robust Optimization with Probabilistic Group
Soumya Suvra Ghosal
Yixuan Li
OOD
16
7
0
10 Mar 2023
Robust Question Answering against Distribution Shifts with Test-Time
  Adaptation: An Empirical Study
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study
Hai Ye
Yuyang Ding
Juntao Li
Hwee Tou Ng
OOD
TTA
29
9
0
09 Feb 2023
Measure More, Question More: Experimental Studies on Transformer-based
  Language Models and Complement Coercion
Measure More, Question More: Experimental Studies on Transformer-based Language Models and Complement Coercion
Yuling Gu
22
1
0
20 Dec 2022
Debiasing Stance Detection Models with Counterfactual Reasoning and
  Adversarial Bias Learning
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning
Jianhua Yuan
Yanyan Zhao
Bing Qin
52
4
0
20 Dec 2022
Feature Dropout: Revisiting the Role of Augmentations in Contrastive
  Learning
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning
Alex Tamkin
Margalit Glasgow
Xiluo He
Noah D. Goodman
SSL
27
7
0
16 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust
  Optimization
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
Bhargavi Paranjape
Pradeep Dasigi
Vivek Srikumar
Luke Zettlemoyer
Hannaneh Hajishirzi
36
7
0
02 Dec 2022
ModelDiff: A Framework for Comparing Learning Algorithms
ModelDiff: A Framework for Comparing Learning Algorithms
Harshay Shah
Sung Min Park
Andrew Ilyas
A. Madry
SyDa
54
26
0
22 Nov 2022
GLUE-X: Evaluating Natural Language Understanding Models from an
  Out-of-distribution Generalization Perspective
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
Linyi Yang
Shuibai Zhang
Libo Qin
Yafu Li
Yidong Wang
Hanmeng Liu
Jindong Wang
Xingxu Xie
Yue Zhang
ELM
52
79
0
15 Nov 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in
  Natural Language Inference
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference
S. Rajaee
Yadollah Yaghoobzadeh
Mohammad Taher Pilehvar
36
5
0
07 Nov 2022
Are All Spurious Features in Natural Language Alike? An Analysis through
  a Causal Lens
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens
Nitish Joshi
X. Pan
Hengxing He
CML
61
30
0
25 Oct 2022
Lexical Generalization Improves with Larger Models and Longer Training
Lexical Generalization Improves with Larger Models and Longer Training
Elron Bandel
Yoav Goldberg
Yanai Elazar
64
6
0
23 Oct 2022
Exploring The Landscape of Distributional Robustness for Question
  Answering Models
Exploring The Landscape of Distributional Robustness for Question Answering Models
Anas Awadalla
Mitchell Wortsman
Gabriel Ilharco
Sewon Min
Ian H. Magnusson
Hannaneh Hajishirzi
Ludwig Schmidt
ELM
OOD
KELM
72
19
0
22 Oct 2022
Measures of Information Reflect Memorization Patterns
Measures of Information Reflect Memorization Patterns
Rachit Bansal
Danish Pruthi
Yonatan Belinkov
33
8
0
17 Oct 2022
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence
  Embedding
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding
Songyang Gao
Shihan Dou
Qi Zhang
Xuanjing Huang
25
8
0
14 Oct 2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
Yuanxin Liu
Fandong Meng
Zheng Lin
JiangNan Li
Peng Fu
Yanan Cao
Weiping Wang
Jie Zhou
39
5
0
11 Oct 2022
Learning Robust Representations for Continual Relation Extraction via
  Adversarial Class Augmentation
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
Peiyi Wang
Yifan Song
Tianyu Liu
Binghuai Lin
Yunbo Cao
Sujian Li
Zhifang Sui
CLL
SLR
37
22
0
10 Oct 2022
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of
  language models for taxonomy classification through data augmentation
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation
I. Sarhan
P. Mosteiro
Marco Spruit
31
2
0
07 Oct 2022
FAST: Improving Controllability for Text Generation with Feedback Aware
  Self-Training
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training
Junyi Chai
Reid Pryzant
Victor Ye Dong
Konstantin Golobokov
Chenguang Zhu
Yi Liu
37
5
0
06 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
129
95
0
06 Oct 2022
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU
  Models
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU Models
Ting Wu
Tao Gui
45
5
0
16 Sep 2022
Shortcut Learning of Large Language Models in Natural Language
  Understanding
Shortcut Learning of Large Language Models in Natural Language Understanding
Mengnan Du
Fengxiang He
Na Zou
Dacheng Tao
Xia Hu
KELM
OffRL
42
84
0
25 Aug 2022
Plex: Towards Reliability using Pretrained Large Model Extensions
Plex: Towards Reliability using Pretrained Large Model Extensions
Dustin Tran
J. Liu
Michael W. Dusenberry
Du Phan
Mark Collier
...
D. Sculley
Y. Gal
Zoubin Ghahramani
Jasper Snoek
Balaji Lakshminarayanan
VLM
39
124
0
15 Jul 2022
Breaking Correlation Shift via Conditional Invariant Regularizer
Breaking Correlation Shift via Conditional Invariant Regularizer
Mingyang Yi
Ruoyu Wang
Jiacheng Sun
Zhenguo Li
Zhi-Ming Ma
OODD
20
5
0
14 Jul 2022
Methods for Estimating and Improving Robustness of Language Models
Methods for Estimating and Improving Robustness of Language Models
Michal Stefánik
13
1
0
16 Jun 2022
A Meta-Analysis of Distributionally-Robust Models
A Meta-Analysis of Distributionally-Robust Models
Ben Feuer
Ameya Joshi
C. Hegde
OOD
VLM
43
3
0
15 Jun 2022
Do we need Label Regularization to Fine-tune Pre-trained Language
  Models?
Do we need Label Regularization to Fine-tune Pre-trained Language Models?
I. Kobyzev
A. Jafari
Mehdi Rezagholizadeh
Tianda Li
Alan Do-Omri
Peng Lu
Pascal Poupart
A. Ghodsi
30
2
0
25 May 2022
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
Jinghui Lu
Linyi Yang
Brian Mac Namee
Yue Zhang
27
39
0
24 Mar 2022
Leveraging Expert Guided Adversarial Augmentation For Improving
  Generalization in Named Entity Recognition
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition
Aaron Reich
Jiaao Chen
Aastha Agrawal
Yanzhe Zhang
Diyi Yang
AAML
16
5
0
21 Mar 2022
Are Vision Transformers Robust to Spurious Correlations?
Are Vision Transformers Robust to Spurious Correlations?
Soumya Suvra Ghosal
Yifei Ming
Yixuan Li
ViT
33
29
0
17 Mar 2022
Adaptor: Objective-Centric Adaptation Framework for Language Models
Adaptor: Objective-Centric Adaptation Framework for Language Models
Michal vStefánik
Vít Novotný
Nikola Groverová
Petr Sojka
35
10
0
08 Mar 2022
WANLI: Worker and AI Collaboration for Natural Language Inference
  Dataset Creation
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
Alisa Liu
Swabha Swayamdipta
Noah A. Smith
Yejin Choi
82
213
0
16 Jan 2022
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification
Alon Talmor
Ori Yoran
Ronan Le Bras
Chandrasekhar Bhagavatula
Yoav Goldberg
Yejin Choi
Jonathan Berant
ELM
33
141
0
14 Jan 2022
Polish Natural Language Inference and Factivity -- an Expert-based
  Dataset and Benchmarks
Polish Natural Language Inference and Factivity -- an Expert-based Dataset and Benchmarks
Daniel Ziembicki
Anna Wróblewska
Karolina Seweryn
24
1
0
10 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and
  Future Directions
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions
Marwan Omar
Soohyeon Choi
Daehun Nyang
David A. Mohaisen
32
57
0
03 Jan 2022
PECO: Examining Single Sentence Label Leakage in Natural Language
  Inference Datasets through Progressive Evaluation of Cluster Outliers
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers
Michael Stephen Saxon
Xinyi Wang
Wenda Xu
William Yang Wang
26
8
0
16 Dec 2021
An Empirical Investigation of the Role of Pre-training in Lifelong
  Learning
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
Sanket Vaibhav Mehta
Darshan Patil
Sarath Chandar
Emma Strubell
CLL
45
137
0
16 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
Extending the WILDS Benchmark for Unsupervised Adaptation
Extending the WILDS Benchmark for Unsupervised Adaptation
Shiori Sagawa
Pang Wei Koh
Tony Lee
Irena Gao
Sang Michael Xie
...
Kate Saenko
Tatsunori Hashimoto
Sergey Levine
Chelsea Finn
Percy Liang
OOD
18
98
0
09 Dec 2021
The Effect of Model Size on Worst-Group Generalization
The Effect of Model Size on Worst-Group Generalization
Alan Pham
Eunice Chan
V. Srivatsa
Dhruba Ghosh
Yaoqing Yang
Yaodong Yu
Ruiqi Zhong
Joseph E. Gonzalez
Jacob Steinhardt
23
5
0
08 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
Haoyang Li
Xin Wang
Ziwei Zhang
Wenwu Zhu
OODD
OOD
31
97
0
07 Dec 2021
Towards Principled Disentanglement for Domain Generalization
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric Xing
OOD
39
112
0
27 Nov 2021
Benchmarking Multimodal AutoML for Tabular Data with Text Fields
Benchmarking Multimodal AutoML for Tabular Data with Text Fields
Xingjian Shi
Jonas W. Mueller
Nick Erickson
Mu Li
Alexander J. Smola
LMTD
42
29
0
04 Nov 2021
Quantifying the Task-Specific Information in Text-Based Classifications
Quantifying the Task-Specific Information in Text-Based Classifications
Zining Zhu
Aparna Balagopalan
Marzyeh Ghassemi
Frank Rudzicz
42
4
0
17 Oct 2021
Robustness Challenges in Model Distillation and Pruning for Natural
  Language Understanding
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
Mengnan Du
Subhabrata Mukherjee
Yu Cheng
Milad Shokouhi
Xia Hu
Ahmed Hassan Awadallah
52
13
0
16 Oct 2021
Invariant Language Modeling
Invariant Language Modeling
Maxime Peyrard
Sarvjeet Ghotra
Martin Josifoski
Vidhan Agarwal
Barun Patra
Dean Carignan
Emre Kıcıman
Robert West
29
13
0
16 Oct 2021
Identifying and Mitigating Spurious Correlations for Improving
  Robustness in NLP Models
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
120
72
0
14 Oct 2021
Interpreting the Robustness of Neural NLP Models to Textual
  Perturbations
Interpreting the Robustness of Neural NLP Models to Textual Perturbations
Yunxiang Zhang
Liangming Pan
Samson Tan
Min-Yen Kan
33
21
0
14 Oct 2021
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