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

26 September 2019

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

50 / 158 papers shown

Title
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation Phillip Howard Gadi Singer Vasudev Lal Yejin Choi Swabha Swayamdipta CML 58 25 0 22 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 59 4 0 21 Oct 2022
Men Also Do Laundry: Multi-Attribute Bias Amplification Dora Zhao Jerone T. A. Andrews Alice Xiang FaML 43 21 0 21 Oct 2022
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals Maarten De Raedt Fréderic Godin Chris Develder Thomas Demeester 13 1 0 21 Oct 2022
Finding Dataset Shortcuts with Grammar Induction Dan Friedman Alexander Wettig Danqi Chen 27 15 0 20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 36 117 0 20 Oct 2022
CPL: Counterfactual Prompt Learning for Vision and Language Models Xuehai He Diji Yang Weixi Feng Tsu-jui Fu Arjun Reddy Akula Varun Jampani P. Narayana Sugato Basu William Yang Wang Qing Guo VPVLM VLM 50 15 0 19 Oct 2022
SEAL : Interactive Tool for Systematic Error Analysis and Labeling Nazneen Rajani Weixin Liang Lingjiao Chen Margaret Mitchell James Zou 45 16 0 11 Oct 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation Tanay Dixit Bhargavi Paranjape Hannaneh Hajishirzi Luke Zettlemoyer SyDa 146 23 0 10 Oct 2022
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
InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples Venelin Kovatchev Mariona Taulé 33 4 0 06 Oct 2022
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 121 94 0 06 Oct 2022
Semantic-based Pre-training for Dialogue Understanding Xuefeng Bai Linfeng Song Yue Zhang 38 7 0 19 Sep 2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification Hui Chen Wei Han Diyi Yang Soujanya Poria 15 12 0 12 Sep 2022
Generating Intermediate Steps for NLI with Next-Step Supervision Deepanway Ghosal Somak Aditya Monojit Choudhury LRM 35 1 0 31 Aug 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 34 84 0 25 Aug 2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition Linyi Yang Lifan Yuan Leyang Cui Wen Gao Yue Zhang 29 15 0 24 Aug 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 26 62 0 29 Jul 2022
Efficient Classification with Counterfactual Reasoning and Active Learning A. Mohammed D. Nguyen Bao Duong T. Nguyen CML 30 0 0 25 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 38 29 0 06 Jul 2022
Resolving the Human Subjects Status of Machine Learning's Crowdworkers Divyansh Kaushik Zachary Chase Lipton A. London 25 2 0 08 Jun 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 30 11 0 13 May 2022
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection Indira Sen Mattia Samory Claudia Wagner Isabelle Augenstein 26 17 0 09 May 2022
Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment Yujian Gan Xinyun Chen Qiuping Huang Matthew Purver 27 21 0 04 May 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 23 40 0 25 Apr 2022
Towards Fine-grained Causal Reasoning and QA Linyi Yang Zhen Wang Yuxiang Wu Jie Yang Yue Zhang 41 15 0 15 Apr 2022
VALUE: Understanding Dialect Disparity in NLU Caleb Ziems Jiaao Chen Camille Harris J. Anderson Diyi Yang ELM 47 41 0 06 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 49 318 0 06 Apr 2022
Fact Checking with Insufficient Evidence Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein 37 14 0 05 Apr 2022
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
A Causal Lens for Controllable Text Generation Zhiting Hu Erran L. Li 45 59 0 22 Jan 2022
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 21 141 0 14 Jan 2022
Making a (Counterfactual) Difference One Rationale at a Time Michael J. Plyler Michal Green Min Chi 21 11 0 13 Jan 2022
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
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations Siddhant Arora Danish Pruthi Norman M. Sadeh William W. Cohen Zachary Chase Lipton Graham Neubig FAtt 40 38 0 17 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
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
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Kaustubh D. Dhole Varun Gangal Sebastian Gehrmann Aadesh Gupta Zhenhao Li ... Tianbao Xie Usama Yaseen Michael A. Yee Jing Zhang Yue Zhang 174 86 0 06 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 186 89 0 02 Dec 2021
Inducing Causal Structure for Interpretable Neural Networks Atticus Geiger Zhengxuan Wu Hanson Lu J. Rozner Elisa Kreiss Thomas Icard Noah D. Goodman Christopher Potts CML OOD 35 71 0 01 Dec 2021
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric P. Xing OOD 39 112 0 27 Nov 2021
Interpreting Language Models Through Knowledge Graph Extraction Vinitra Swamy Angelika Romanou Martin Jaggi 30 20 0 16 Nov 2021
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation David Alfonso-Hermelo Ahmad Rashid Abbas Ghaddar Huawei Noah’s Mehdi Rezagholizadeh 34 2 0 09 Nov 2021
CLLD: Contrastive Learning with Label Distance for Text Classification Jinhe Lan Qingyuan Zhan Chenhao Jiang Kunping Yuan Desheng Wang VLM 34 2 0 25 Oct 2021
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 230 343 0 21 Oct 2021
Retrieval-guided Counterfactual Generation for QA Bhargavi Paranjape Matthew Lamm Ian Tenney 33 31 0 14 Oct 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates Xiaochuang Han Yulia Tsvetkov TDI 31 30 0 07 Oct 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach Zhao Wang Kai Shu A. Culotta OOD 21 14 0 03 Oct 2021
Connecting degree and polarity: An artificial language learning study Lisa Bylinina Alexey Tikhonov Ekaterina Garmash AI4CE 14 0 0 13 Sep 2021
Entity-Based Knowledge Conflicts in Question Answering Shayne Longpre Kartik Perisetla Anthony Chen Nikhil Ramesh Chris DuBois Sameer Singh HILM 245 239 0 10 Sep 2021