AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning

29 November 2022

Jie Zhou

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Papers citing "AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning"

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Title
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Yuxiang Wu Matt Gardner Pontus Stenetorp Pradeep Dasigi 81 67 0 24 Mar 2022
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 71 43 0 26 Oct 2021
Retrieval-guided Counterfactual Generation for QA Bhargavi Paranjape Matthew Lamm Ian Tenney 72 31 0 14 Oct 2021
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning Jing Zhou Yanan Zheng Jie Tang Jian Li Zhilin Yang VLM 62 78 0 13 Aug 2021
An Investigation of the (In)effectiveness of Counterfactually Augmented Data Nitish Joshi He He OODD 57 47 0 01 Jul 2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis Linyi Yang Jiazheng Li Padraig Cunningham Yue Zhang Barry Smyth Ruihai Dong 52 48 0 29 Jun 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation C. Chang George Adam Anna Goldenberg OOD CML 46 32 0 02 Jun 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts Alisa Liu Maarten Sap Ximing Lu Swabha Swayamdipta Chandra Bhagavatula Noah A. Smith Yejin Choi MU 107 374 0 07 May 2021
Competency Problems: On Finding and Removing Artifacts in Language Data Matt Gardner William Merrill Jesse Dodge Matthew E. Peters Alexis Ross Sameer Singh Noah A. Smith 199 111 0 17 Apr 2021
FUDGE: Controlled Text Generation With Future Discriminators Kevin Kaichuang Yang Dan Klein 103 333 0 12 Apr 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models Mengnan Du Varun Manjunatha R. Jain Ruchi Deshpande Franck Dernoncourt Jiuxiang Gu Tong Sun Xia Hu 93 107 0 11 Mar 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models Tongshuang Wu Marco Tulio Ribeiro Jeffrey Heer Daniel S. Weld 97 249 0 01 Jan 2021
Explaining NLP Models via Minimal Contrastive Editing (MiCE) Alexis Ross Ana Marasović Matthew E. Peters 71 122 0 27 Dec 2020
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text Nishtha Madaan Inkit Padhi Naveen Panwar Diptikalyan Saha CML 77 101 0 08 Dec 2020
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data William Huang Haokun Liu Samuel R. Bowman 64 38 0 09 Oct 2020
Explaining The Efficacy of Counterfactually Augmented Data Divyansh Kaushik Amrith Rajagopal Setlur Eduard H. Hovy Zachary Chase Lipton CML 55 82 0 05 Oct 2020
Towards Debiasing NLU Models from Unknown Biases Prasetya Ajie Utama N. Moosavi Iryna Gurevych 59 155 0 25 Sep 2020
GeDi: Generative Discriminator Guided Sequence Generation Ben Krause Akhilesh Deepak Gotmare Bryan McCann N. Keskar Shafiq Joty R. Socher Nazneen Rajani 128 407 0 14 Sep 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction Bhargavi Paranjape Mandar Joshi John Thickstun Hannaneh Hajishirzi Luke Zettlemoyer 57 101 0 01 May 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 209 2,052 0 16 Apr 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 235 206 0 22 Mar 2020
Plug and Play Language Models: A Simple Approach to Controlled Text Generation Sumanth Dathathri Andrea Madotto Janice Lan Jane Hung Eric Frank Piero Molino J. Yosinski Rosanne Liu KELM 136 976 0 04 Dec 2019
ERASER: A Benchmark to Evaluate Rationalized NLP Models Jay DeYoung Sarthak Jain Nazneen Rajani Eric P. Lehman Caiming Xiong R. Socher Byron C. Wallace 117 637 0 08 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 442 20,181 0 23 Oct 2019
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 91 569 0 26 Sep 2019
TinyBERT: Distilling BERT for Natural Language Understanding Xiaoqi Jiao Yichun Yin Lifeng Shang Xin Jiang Xiao Chen Linlin Li F. Wang Qun Liu VLM 105 1,860 0 23 Sep 2019
End-to-End Bias Mitigation by Modelling Biases in Corpora Rabeeh Karimi Mahabadi Yonatan Belinkov James Henderson 123 180 0 13 Sep 2019
CTRL: A Conditional Transformer Language Model for Controllable Generation N. Keskar Bryan McCann Lav Varshney Caiming Xiong R. Socher AI4CE 125 1,254 0 11 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases Christopher Clark Mark Yatskar Luke Zettlemoyer OOD 76 465 0 09 Sep 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual He He Sheng Zha Haohan Wang 65 199 0 28 Aug 2019
Neural Text Generation with Unlikelihood Training Sean Welleck Ilia Kulikov Stephen Roller Emily Dinan Kyunghyun Cho Jason Weston MU 48 578 0 12 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 662 24,464 0 26 Jul 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Jinpeng Wang Yada Pruksachatkun Nikita Nangia Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 265 2,315 0 02 May 2019
The Curious Case of Neural Text Degeneration Ari Holtzman Jan Buys Li Du Maxwell Forbes Yejin Choi 187 3,184 0 22 Apr 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 417 638 0 04 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
Stress Test Evaluation for Natural Language Inference Aakanksha Naik Abhilasha Ravichander Norman M. Sadeh Carolyn Rose Graham Neubig ELM 75 377 0 02 Jun 2018
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences Max Glockner Vered Shwartz Yoav Goldberg NAI 88 366 0 06 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,182 0 20 Apr 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 150 1,176 0 06 Mar 2018
Style Transfer from Non-Parallel Text by Cross-Alignment T. Shen Tao Lei Regina Barzilay Tommi Jaakkola 119 774 0 26 May 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,939 0 22 May 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,479 0 18 Apr 2017
Understanding Neural Networks through Representation Erasure Jiwei Li Will Monroe Dan Jurafsky AAML MILM 88 565 0 24 Dec 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 118 812 0 13 Jun 2016
Yelp Dataset Challenge: Review Rating Prediction Nabiha Asghar 53 169 0 17 May 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016
Improving Neural Machine Translation Models with Monolingual Data Rico Sennrich Barry Haddow Alexandra Birch 248 2,722 0 20 Nov 2015
A Diversity-Promoting Objective Function for Neural Conversation Models Jiwei Li Michel Galley Chris Brockett Jianfeng Gao W. Dolan 143 2,392 0 11 Oct 2015
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 268 6,113 0 04 Sep 2015