ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.12434
  4. Cited By
Learning the Difference that Makes a Difference with
  Counterfactually-Augmented Data
v1v2 (latest)

Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

International Conference on Learning Representations (ICLR), 2019
26 September 2019
Divyansh Kaushik
Eduard H. Hovy
Zachary Chase Lipton
    CML
ArXiv (abs)PDFHTML

Papers citing "Learning the Difference that Makes a Difference with Counterfactually-Augmented Data"

50 / 429 papers shown
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating
  Models to Reflect Conflicting Evidence
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting EvidenceConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hung-Ting Chen
Michael J.Q. Zhang
Eunsol Choi
RALMHILM
335
129
0
25 Oct 2022
Realistic Data Augmentation Framework for Enhancing Tabular Reasoning
Realistic Data Augmentation Framework for Enhancing Tabular ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
D. K. Santhosh Kumar
Vivek Gupta
Soumya Sharma
Shuo Zhang
LMTD
181
4
0
23 Oct 2022
Counterfactual Generation Under Confounding
Counterfactual Generation Under Confounding
Abbavaram Gowtham Reddy
Saloni Dash
Amit Sharma
V. Balasubramanian
CML
317
2
0
22 Oct 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer
  Data Augmentation
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data AugmentationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Phillip Howard
Gadi Singer
Vasudev Lal
Yejin Choi
Swabha Swayamdipta
CML
253
28
0
22 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident
  Classifier
Augmentation by Counterfactual Explanation -- Fixing an Overconfident ClassifierIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Sumedha Singla
Nihal Murali
Forough Arabshahi
Sofia Triantafyllou
Kayhan Batmanghelich
CML
229
6
0
21 Oct 2022
A Causal Framework to Quantify the Robustness of Mathematical Reasoning
  with Language Models
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Alessandro Stolfo
Zhijing Jin
Kumar Shridhar
Bernhard Schölkopf
Mrinmaya Sachan
ELMOODLRM
391
78
0
21 Oct 2022
Men Also Do Laundry: Multi-Attribute Bias Amplification
Men Also Do Laundry: Multi-Attribute Bias AmplificationInternational Conference on Machine Learning (ICML), 2022
Dora Zhao
Jerone T. A. Andrews
Alice Xiang
FaML
294
29
0
21 Oct 2022
Robustifying Sentiment Classification by Maximally Exploiting Few
  Counterfactuals
Robustifying Sentiment Classification by Maximally Exploiting Few CounterfactualsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Maarten De Raedt
Fréderic Godin
Chris Develder
Thomas Demeester
188
1
0
21 Oct 2022
Finding Dataset Shortcuts with Grammar Induction
Finding Dataset Shortcuts with Grammar InductionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Dan Friedman
Alexander Wettig
Danqi Chen
268
17
0
20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious CorrelationsNeural Information Processing Systems (NeurIPS), 2022
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
280
168
0
20 Oct 2022
CPL: Counterfactual Prompt Learning for Vision and Language Models
CPL: Counterfactual Prompt Learning for Vision and Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Xuehai He
Diji Yang
Weixi Feng
Tsu-Jui Fu
Arjun Reddy Akula
Varun Jampani
P. Narayana
Sugato Basu
William Yang Wang
Xinze Wang
VPVLMVLM
330
19
0
19 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
205
1
0
14 Oct 2022
SEAL : Interactive Tool for Systematic Error Analysis and Labeling
SEAL : Interactive Tool for Systematic Error Analysis and LabelingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Nazneen Rajani
Weixin Liang
Lingjiao Chen
Margaret Mitchell
James Zou
170
17
0
11 Oct 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
CORE: A Retrieve-then-Edit Framework for Counterfactual Data GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Tanay Dixit
Bhargavi Paranjape
Hannaneh Hajishirzi
Luke Zettlemoyer
SyDa
422
33
0
10 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
251
7
0
06 Oct 2022
InferES : A Natural Language Inference Corpus for Spanish Featuring
  Negation-Based Contrastive and Adversarial Examples
InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial ExamplesInternational Conference on Computational Linguistics (COLING), 2022
Venelin Kovatchev
Mariona Taulé
181
6
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 reviewNature Machine Intelligence (Nat. Mach. Intell.), 2022
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Robert Bamler
Zhijing Jin
631
132
0
06 Oct 2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data
  Augmentation
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
N. Jethani
Nitish Joshi
Yoav Wald
Hera Y. He
Rajesh Ranganath
289
20
0
04 Oct 2022
Domain Generalization -- A Causal Perspective
Domain Generalization -- A Causal Perspective
Paras Sheth
Raha Moraffah
K. S. Candan
A. Raglin
Huan Liu
CMLOOD
305
22
0
30 Sep 2022
WinoDict: Probing language models for in-context word acquisition
WinoDict: Probing language models for in-context word acquisitionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Julian Martin Eisenschlos
Jeremy R. Cole
Fangyu Liu
William W. Cohen
KELM
254
20
0
25 Sep 2022
Towards Faithful Model Explanation in NLP: A Survey
Towards Faithful Model Explanation in NLP: A SurveyComputational Linguistics (CL), 2022
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
XAI
537
169
0
22 Sep 2022
Semantic-based Pre-training for Dialogue Understanding
Semantic-based Pre-training for Dialogue UnderstandingInternational Conference on Computational Linguistics (COLING), 2022
Xuefeng Bai
Linfeng Song
Yue Zhang
252
8
0
19 Sep 2022
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU
  Models
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU ModelsInternational Conference on Computational Linguistics (COLING), 2022
Ting Wu
Tao Gui
172
5
0
16 Sep 2022
Machine Reading, Fast and Slow: When Do Models "Understand" Language?
Machine Reading, Fast and Slow: When Do Models "Understand" Language?International Conference on Computational Linguistics (COLING), 2022
Sagnik Ray Choudhury
Anna Rogers
Isabelle Augenstein
LRM
187
21
0
15 Sep 2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A
  Prompt-Based Uncertainty Propagation Approach
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach
Yue Yu
Rongzhi Zhang
Ran Xu
Jieyu Zhang
Jiaming Shen
Chao Zhang
194
24
0
15 Sep 2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text
  Classification
DoubleMix: Simple Interpolation-Based Data Augmentation for Text ClassificationInternational Conference on Computational Linguistics (COLING), 2022
Hui Chen
Wei Han
Diyi Yang
Soujanya Poria
161
16
0
12 Sep 2022
Bias Challenges in Counterfactual Data Augmentation
Bias Challenges in Counterfactual Data Augmentation
S Chandra Mouli
Yangze Zhou
Bruno Ribeiro
CMLOODOODD
250
6
0
12 Sep 2022
Improving Compositional Generalization in Math Word Problem Solving
Improving Compositional Generalization in Math Word Problem Solving
Yunshi Lan
Lei Wang
Jingwu Jiang
Ee-Peng Lim
196
9
0
03 Sep 2022
Generating Intermediate Steps for NLI with Next-Step Supervision
Generating Intermediate Steps for NLI with Next-Step Supervision
Deepanway Ghosal
Somak Aditya
Monojit Choudhury
LRM
198
1
0
31 Aug 2022
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
Zining Zhu
Soroosh Shahtalebi
Frank Rudzicz
233
5
0
25 Aug 2022
Shortcut Learning of Large Language Models in Natural Language
  Understanding
Shortcut Learning of Large Language Models in Natural Language UnderstandingCommunications of the ACM (CACM), 2022
Mengnan Du
Fengxiang He
Na Zou
Dacheng Tao
Helen Zhou
KELMOffRL
404
110
0
25 Aug 2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to
  Cross-domain Named Entity Recognition
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity RecognitionInternational Conference on Computational Linguistics (COLING), 2022
Linyi Yang
Lifan Yuan
Leyang Cui
Wen Gao
Yue Zhang
327
17
0
24 Aug 2022
Leveraging Explanations in Interactive Machine Learning: An Overview
Leveraging Explanations in Interactive Machine Learning: An OverviewFrontiers in Artificial Intelligence (FAI), 2022
Stefano Teso
Öznur Alkan
Wolfgang Stammer
Elizabeth M. Daly
XAIFAttLRM
528
78
0
29 Jul 2022
WinoGAViL: Gamified Association Benchmark to Challenge
  Vision-and-Language Models
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language ModelsNeural Information Processing Systems (NeurIPS), 2022
Yonatan Bitton
Nitzan Bitton-Guetta
Ron Yosef
Yuval Elovici
Joey Tianyi Zhou
Gabriel Stanovsky
Roy Schwartz
219
19
0
25 Jul 2022
Efficient Classification with Counterfactual Reasoning and Active
  Learning
Efficient Classification with Counterfactual Reasoning and Active LearningAsian Conference on Intelligent Information and Database Systems (ACIIDS), 2022
A. Mohammed
D. Nguyen
Bao Duong
T. Nguyen
CML
156
1
0
25 Jul 2022
Predicting is not Understanding: Recognizing and Addressing
  Underspecification in Machine Learning
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine LearningEuropean Conference on Computer Vision (ECCV), 2022
Damien Teney
Maxime Peyrard
Ehsan Abbasnejad
286
32
0
06 Jul 2022
longhorns at DADC 2022: How many linguists does it take to fool a
  Question Answering model? A systematic approach to adversarial attacks
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks
Venelin Kovatchev
Trina Chatterjee
Venkata S Govindarajan
Jifan Chen
Eunsol Choi
...
K. Erk
Matthew Lease
Junyi Jessy Li
Yating Wu
Kyle Mahowald
AAMLELM
212
11
0
29 Jun 2022
Flexible text generation for counterfactual fairness probing
Flexible text generation for counterfactual fairness probing
Zee Fryer
Vera Axelrod
Ben Packer
Alex Beutel
Jilin Chen
Kellie Webster
125
22
0
28 Jun 2022
Resolving the Human Subjects Status of Machine Learning's Crowdworkers
Resolving the Human Subjects Status of Machine Learning's CrowdworkersQueue (ACM Queue), 2022
Divyansh Kaushik
Zachary Chase Lipton
A. London
244
4
0
08 Jun 2022
Approximate Conditional Coverage & Calibration via Neural Model
  Approximations
Approximate Conditional Coverage & Calibration via Neural Model Approximations
A. Schmaltz
Danielle Rasooly
UQCV
245
0
0
28 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 TypingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Nan Xu
Fei Wang
Bangzheng Li
Mingtao Dong
Muhao Chen
225
24
0
25 May 2022
ER-Test: Evaluating Explanation Regularization Methods for Language
  Models
ER-Test: Evaluating Explanation Regularization Methods for Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Brihi Joshi
Aaron Chan
Ziyi Liu
Shaoliang Nie
Maziar Sanjabi
Hamed Firooz
Xiang Ren
AAML
379
7
0
25 May 2022
Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard
  Contexts
Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard ContextsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
H. Trivedi
Niranjan Balasubramanian
Tushar Khot
Ashish Sabharwal
ReLMLRM
223
10
0
25 May 2022
Perspectives on Incorporating Expert Feedback into Model Updates
Perspectives on Incorporating Expert Feedback into Model UpdatesPatterns (Patterns), 2022
Valerie Chen
Umang Bhatt
Hoda Heidari
Adrian Weller
Ameet Talwalkar
231
15
0
13 May 2022
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism
  and Hate Speech Detection
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech DetectionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Indira Sen
Mattia Samory
Claudia Wagner
Isabelle Augenstein
240
20
0
09 May 2022
Measuring and Improving Compositional Generalization in Text-to-SQL via
  Component Alignment
Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment
Yujian Gan
Xinyun Chen
Qiuping Huang
Matthew Purver
180
25
0
04 May 2022
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated
  Counterfactuals
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated CounterfactualsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Zijian Zhang
Vinay Setty
Avishek Anand
160
7
0
03 May 2022
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User
  Feedback for Continual System Improvement
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System ImprovementConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Bhavana Dalvi
Oyvind Tafjord
Peter Clark
LRMKELMReLM
289
47
0
27 Apr 2022
Can Rationalization Improve Robustness?
Can Rationalization Improve Robustness?North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Howard Chen
Jacqueline He
Karthik Narasimhan
Danqi Chen
AAML
337
44
0
25 Apr 2022
An Attention-Based Model for Predicting Contextual Informativeness and
  Curriculum Learning Applications
An Attention-Based Model for Predicting Contextual Informativeness and Curriculum Learning Applications
Sungjin Nam
David Jurgens
Gwen Frishkoff
Kevyn Collins-Thompson
215
0
0
21 Apr 2022
Previous
123456789
Next
Page 5 of 9