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Adversarial Filters of Dataset Biases

Adversarial Filters of Dataset Biases

10 February 2020
Ronan Le Bras
Swabha Swayamdipta
Chandra Bhagavatula
Rowan Zellers
Matthew E. Peters
Ashish Sabharwal
Yejin Choi
ArXivPDFHTML

Papers citing "Adversarial Filters of Dataset Biases"

50 / 170 papers shown
Title
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Y. Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
20
2
0
23 May 2023
Preconditioned Visual Language Inference with Weak Supervision
Preconditioned Visual Language Inference with Weak Supervision
Ehsan Qasemi
Amani Maina-Kilaas
Devadutta Dash
Khalid Alsaggaf
Muhao Chen
17
0
0
22 May 2023
DataComp: In search of the next generation of multimodal datasets
DataComp: In search of the next generation of multimodal datasets
S. Gadre
Gabriel Ilharco
Alex Fang
J. Hayase
Georgios Smyrnis
...
A. Dimakis
J. Jitsev
Y. Carmon
Vaishaal Shankar
Ludwig Schmidt
VLM
15
404
0
27 Apr 2023
LINGO : Visually Debiasing Natural Language Instructions to Support Task
  Diversity
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity
Anjana Arunkumar
Shubham Sharma
Rakhi Agrawal
Sriramakrishnan Chandrasekaran
Chris Bryan
18
0
0
12 Apr 2023
A Data Fusion Framework for Multi-Domain Morality Learning
A Data Fusion Framework for Multi-Domain Morality Learning
Siyi Guo
Negar Mokhberian
Kristina Lerman
FedML
28
24
0
04 Apr 2023
PASS: Peer-Agreement based Sample Selection for training with Noisy
  Labels
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
17
2
0
20 Mar 2023
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
Yanchen Liu
Jing Yang
Yan Chen
Jing Liu
Huaqin Wu
MoE
32
2
0
28 Feb 2023
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias
  Alleviation in Neural Networks
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks
Mahum Naseer
B. Prabakaran
Osman Hasan
Muhammad Shafique
16
7
0
24 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
8
1
0
22 Feb 2023
Balanced Audiovisual Dataset for Imbalance Analysis
Balanced Audiovisual Dataset for Imbalance Analysis
Wenke Xia
Xu Zhao
Xincheng Pang
Changqing Zhang
Di Hu
24
1
0
14 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future
  Research Directions
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions
Marwan Omar
SILM
AAML
11
20
0
14 Feb 2023
Real-Time Visual Feedback to Guide Benchmark Creation: A
  Human-and-Metric-in-the-Loop Workflow
Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow
Anjana Arunkumar
Swaroop Mishra
Bhavdeep Singh Sachdeva
Chitta Baral
Chris Bryan
17
0
0
09 Feb 2023
DISCO: Distilling Counterfactuals with Large Language Models
DISCO: Distilling Counterfactuals with Large Language Models
Zeming Chen
Qiyue Gao
Antoine Bosselut
Ashish Sabharwal
Kyle Richardson
27
25
0
20 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for
  Dataset Bias with Noisy Labels
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels
Sumyeong Ahn
Se-Young Yun
NoLa
19
2
0
01 Dec 2022
Going for GOAL: A Resource for Grounded Football Commentaries
Going for GOAL: A Resource for Grounded Football Commentaries
Alessandro Suglia
José Lopes
E. Bastianelli
Andrea Vanzo
Shubham Agarwal
Malvina Nikandrou
Lu Yu
Ioannis Konstas
Verena Rieser
13
5
0
08 Nov 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as
  Artificial Adversaries?
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
Saadia Gabriel
Hamid Palangi
Yejin Choi
AAML
21
1
0
08 Nov 2022
Emergent Linguistic Structures in Neural Networks are Fragile
Emergent Linguistic Structures in Neural Networks are Fragile
Emanuele La Malfa
Matthew Wicker
Marta Kiatkowska
10
1
0
31 Oct 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging
  of NLP Models
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
Dong-Ho Lee
Akshen Kadakia
Brihi Joshi
Aaron Chan
Ziyi Liu
...
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
LRM
22
9
0
30 Oct 2022
Counterfactual Data Augmentation via Perspective Transition for
  Open-Domain Dialogues
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues
Jiao Ou
Jinchao Zhang
Yang Feng
Jie Zhou
26
13
0
30 Oct 2022
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU
Johannes Mario Meissner
Saku Sugawara
Akiko Aizawa
AAML
31
16
0
28 Oct 2022
DiscoSense: Commonsense Reasoning with Discourse Connectives
DiscoSense: Commonsense Reasoning with Discourse Connectives
Prajjwal Bhargava
Vincent Ng
LRM
70
4
0
22 Oct 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets
A Survey of Dataset Refinement for Problems in Computer Vision Datasets
Zhijing Wan
Zhixiang Wang
CheukTing Chung
Zheng Wang
23
7
0
21 Oct 2022
Pretrained Transformers Do not Always Improve Robustness
Pretrained Transformers Do not Always Improve Robustness
Swaroop Mishra
Bhavdeep Singh Sachdeva
Chitta Baral
VLM
17
2
0
14 Oct 2022
Hardness of Samples Need to be Quantified for a Reliable Evaluation
  System: Exploring Potential Opportunities with a New Task
Hardness of Samples Need to be Quantified for a Reliable Evaluation System: Exploring Potential Opportunities with a New Task
Swaroop Mishra
Anjana Arunkumar
Chris Bryan
Chitta Baral
14
1
0
14 Oct 2022
A Survey of Parameters Associated with the Quality of Benchmarks in NLP
A Survey of Parameters Associated with the Quality of Benchmarks in NLP
Swaroop Mishra
Anjana Arunkumar
Chris Bryan
Chitta Baral
24
1
0
14 Oct 2022
StyLEx: Explaining Style Using Human Lexical Annotations
StyLEx: Explaining Style Using Human Lexical Annotations
Shirley Anugrah Hayati
Kyumin Park
Dheeraj Rajagopal
Lyle Ungar
Dongyeop Kang
14
3
0
14 Oct 2022
Benchmarking Long-tail Generalization with Likelihood Splits
Benchmarking Long-tail Generalization with Likelihood Splits
Ameya Godbole
Robin Jia
ALM
15
8
0
13 Oct 2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data
  Augmentation
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
A. Puli
Nitish Joshi
Yoav Wald
Hera Y. He
Rajesh Ranganath
27
16
0
04 Oct 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial
  Intelligence with Humans
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans
John J. Nay
ELM
AILaw
84
27
0
14 Sep 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine
  Reading Comprehension
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension
Xanh Ho
Johannes Mario Meissner
Saku Sugawara
Akiko Aizawa
OffRL
30
3
0
05 Sep 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
25
105
0
31 Aug 2022
Towards Generating Robust, Fair, and Emotion-Aware Explanations for
  Recommender Systems
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems
Bingbing Wen
Yunhe Feng
Yongfeng Zhang
Chirag Shah
11
1
0
17 Aug 2022
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in
  Natural Language Understanding Dataset
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset
Zhihua Jin
Xingbo Wang
Furui Cheng
Chunhui Sun
Qun Liu
Huamin Qu
24
9
0
17 Aug 2022
WinoGAViL: Gamified Association Benchmark to Challenge
  Vision-and-Language Models
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models
Yonatan Bitton
Nitzan Bitton-Guetta
Ron Yosef
Yuval Elovici
Mohit Bansal
Gabriel Stanovsky
Roy Schwartz
4
19
0
25 Jul 2022
BioTABQA: Instruction Learning for Biomedical Table Question Answering
BioTABQA: Instruction Learning for Biomedical Table Question Answering
Man Luo
S. Saxena
Swaroop Mishra
Mihir Parmar
Chitta Baral
LMTD
146
15
0
06 Jul 2022
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed
  Depression Diagnoses
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses
Keith Harrigian
Mark Dredze
17
3
0
22 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution
  Shift?
How Robust is Unsupervised Representation Learning to Distribution Shift?
Yuge Shi
Imant Daunhawer
Julia E. Vogt
Philip H. S. Torr
Amartya Sanyal
OOD
17
25
0
17 Jun 2022
Mitigating Dataset Bias by Using Per-sample Gradient
Mitigating Dataset Bias by Using Per-sample Gradient
Sumyeong Ahn
Seongyoon Kim
Se-Young Yun
38
20
0
31 May 2022
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating
  Spurious Correlations in Entity Typing
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing
Nan Xu
Fei Wang
Bangzheng Li
Mingtao Dong
Muhao Chen
14
20
0
25 May 2022
Partial-input baselines show that NLI models can ignore context, but
  they don't
Partial-input baselines show that NLI models can ignore context, but they don't
Neha Srikanth
Rachel Rudinger
20
4
0
24 May 2022
Are Prompt-based Models Clueless?
Are Prompt-based Models Clueless?
Pride Kavumba
Ryo Takahashi
Yusuke Oda
VLM
101
13
0
19 May 2022
All You May Need for VQA are Image Captions
All You May Need for VQA are Image Captions
Soravit Changpinyo
Doron Kukliansky
Idan Szpektor
Xi Chen
Nan Ding
Radu Soricut
30
70
0
04 May 2022
Don't Blame the Annotator: Bias Already Starts in the Annotation
  Instructions
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions
Mihir Parmar
Swaroop Mishra
Mor Geva
Chitta Baral
17
54
0
01 May 2022
On the Limitations of Dataset Balancing: The Lost Battle Against
  Spurious Correlations
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations
Roy Schwartz
Gabriel Stanovsky
17
24
0
27 Apr 2022
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in
  Natural Language Understanding
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding
Zeming Chen
Qiyue Gao
ELM
17
4
0
13 Apr 2022
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo
Yiran Luo
Pratyay Banerjee
Tejas Gokhale
Yezhou Yang
Chitta Baral
14
4
0
30 Mar 2022
Generating Data to Mitigate Spurious Correlations in Natural Language
  Inference Datasets
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Yuxiang Wu
Matt Gardner
Pontus Stenetorp
Pradeep Dasigi
19
67
0
24 Mar 2022
Structurally Diverse Sampling for Sample-Efficient Training and
  Comprehensive Evaluation
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation
Shivanshu Gupta
Sameer Singh
Matt Gardner
30
7
0
16 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification
  Methods on Out-of-Domain Generalization and Adversarial Robustness
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Tejas Gokhale
Swaroop Mishra
Man Luo
Bhavdeep Singh Sachdeva
Chitta Baral
21
29
0
15 Mar 2022
A Proposal to Study "Is High Quality Data All We Need?"
A Proposal to Study "Is High Quality Data All We Need?"
Swaroop Mishra
Anjana Arunkumar
12
2
0
12 Mar 2022
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