Adversarial Filters of Dataset Biases

10 February 2020

Yejin Choi

Papers citing "Adversarial Filters of Dataset Biases"

50 / 170 papers shown

Title
Adaptor: Objective-Centric Adaptation Framework for Language Models Michal vStefánik Vít Novotný Nikola Groverová Petr Sojka 15 10 0 08 Mar 2022
Feeding What You Need by Understanding What You Learned Xiaoqiang Wang Bang Liu Fangli Xu Bowei Long Siliang Tang Lingfei Wu 44 6 0 05 Mar 2022
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey Prajjwal Bhargava Vincent Ng ReLM LRM 32 61 0 28 Jan 2022
Handling Bias in Toxic Speech Detection: A Survey Tanmay Garg Sarah Masud Tharun Suresh Tanmoy Chakraborty 4 89 0 26 Jan 2022
Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns Reto Gubelmann Siegfried Handschuh ReLM LRM 27 6 0 19 Jan 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation Alisa Liu Swabha Swayamdipta Noah A. Smith Yejin Choi 30 212 0 16 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 11 140 0 14 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions Marwan Omar Soohyeon Choi Daehun Nyang David A. Mohaisen 11 57 0 03 Jan 2022
DREAM: Improving Situational QA by First Elaborating the Situation Yuling Gu Bhavana Dalvi Peter Clark 14 18 0 16 Dec 2021
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models Hongyu Zhu Yan Chen Jing Yang Jing Liu Yu Hong Ying Chen Hua-Hong Wu Haifeng Wang AAML 17 6 0 16 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 6 8 0 25 Nov 2021
Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair Jason Phang Angelica Chen William Huang Samuel R. Bowman AAML 17 13 0 16 Nov 2021
Analyzing Dynamic Adversarial Training Data in the Limit Eric Wallace Adina Williams Robin Jia Douwe Kiela 184 29 0 16 Oct 2021
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail Sam Bowman OffRL 9 45 0 15 Oct 2021
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models Tianlu Wang Rohit Sridhar Diyi Yang Xuezhi Wang AAML 115 70 0 14 Oct 2021
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models Peter West Chandrasekhar Bhagavatula Jack Hessel Jena D. Hwang Liwei Jiang Ronan Le Bras Ximing Lu Sean Welleck Yejin Choi SyDa 17 320 0 14 Oct 2021
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI Yangqiaoyu Zhou Chenhao Tan 16 8 0 12 Oct 2021
Comparing Text Representations: A Theory-Driven Approach Gregory Yauney David M. Mimno 15 6 0 15 Sep 2021
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization I. Oren Jonathan Herzig Jonathan Berant 11 31 0 06 Sep 2021
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge Yasumasa Onoe Michael J.Q. Zhang Eunsol Choi Greg Durrett HILM 12 85 0 03 Sep 2021
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques Hossein Amirkhani Mohammad Taher Pilehvar 18 5 0 01 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 22 234 0 01 Aug 2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 19 42 0 24 Jul 2021
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering Siddharth Karamcheti Ranjay Krishna Li Fei-Fei Christopher D. Manning 18 88 0 06 Jul 2021
Improving Paraphrase Detection with the Adversarial Paraphrasing Task Animesh Nighojkar John Licato 10 39 0 14 Jun 2021
Mitigating Biases in Toxic Language Detection through Invariant Rationalization Yung-Sung Chuang Mingye Gao Hongyin Luo James R. Glass Hung-yi Lee Yun-Nung Chen Shang-Wen Li 12 12 0 14 Jun 2021
How Robust are Model Rankings: A Leaderboard Customization Approach for Equitable Evaluation Swaroop Mishra Anjana Arunkumar 18 24 0 10 Jun 2021
TIMEDIAL: Temporal Commonsense Reasoning in Dialog Lianhui Qin Aditya Gupta Shyam Upadhyay Luheng He Yejin Choi Manaal Faruqui LRM 16 65 0 08 Jun 2021
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain Christine Herlihy Rachel Rudinger 24 21 0 02 Jun 2021
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences Shikhar Singh Nuan Wen Yu Hou Pegah Alipoormolabashi Te-Lin Wu Xuezhe Ma Nanyun Peng LRM 10 57 0 02 Jun 2021
PaCo: Preconditions Attributed to Commonsense Knowledge Ehsan Qasemi Filip Ilievski Muhao Chen Pedro A. Szekely LRM 6 11 0 18 Apr 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 161 107 0 17 Apr 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding? Samuel R. Bowman George E. Dahl ELM ALM 12 155 0 05 Apr 2021
Paired Examples as Indirect Supervision in Latent Decision Models Nitish Gupta Sameer Singh Matt Gardner Dan Roth 12 7 0 05 Apr 2021
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark Nicholas Lourie Ronan Le Bras Chandra Bhagavatula Yejin Choi LRM 11 136 0 24 Mar 2021
NaturalProofs: Mathematical Theorem Proving in Natural Language Sean Welleck Jiacheng Liu Ronan Le Bras Hannaneh Hajishirzi Yejin Choi Kyunghyun Cho AIMat 13 62 0 24 Mar 2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence Tal Schuster Adam Fisch Regina Barzilay 20 225 0 15 Mar 2021
FINE Samples for Learning with Noisy Labels Taehyeon Kim Jongwoo Ko Sangwook Cho J. Choi Se-Young Yun NoLa 19 102 0 23 Feb 2021
Statistically Profiling Biases in Natural Language Reasoning Datasets and Models Shanshan Huang Kenny Q. Zhu 8 1 0 09 Feb 2021
Challenges in Automated Debiasing for Toxic Language Detection Xuhui Zhou Maarten Sap Swabha Swayamdipta Noah A. Smith Yejin Choi 19 135 0 29 Jan 2021
Intrinsic Bias Metrics Do Not Correlate with Application Bias Seraphina Goldfarb-Tarrant Rebecca Marchant Ricardo Muñoz Sánchez Mugdha Pandya Adam Lopez 8 171 0 31 Dec 2020
Coreference Reasoning in Machine Reading Comprehension Mingzhu Wu N. Moosavi Dan Roth Iryna Gurevych LRM 4 8 0 31 Dec 2020
Data and its (dis)contents: A survey of dataset development and use in machine learning research Amandalynne Paullada Inioluwa Deborah Raji Emily M. Bender Emily L. Denton A. Hanna 42 509 0 09 Dec 2020
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D Ankit Goyal Kaiyu Yang Dawei Yang Jia Deng 6 40 0 03 Dec 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks L. N. Darlow Stanisław Jastrzębski Amos Storkey 30 24 0 19 Nov 2020
Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering Kaixin Ma Filip Ilievski Jonathan M Francis Yonatan Bisk Eric Nyberg A. Oltramari 8 6 0 07 Nov 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles Christopher Clark Mark Yatskar Luke Zettlemoyer 16 60 0 07 Nov 2020
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks Denis Emelin Ivan Titov Rico Sennrich AAML 8 6 0 03 Nov 2020
Improving Compositional Generalization in Semantic Parsing I. Oren Jonathan Herzig Nitish Gupta Matt Gardner Jonathan Berant 16 63 0 12 Oct 2020