Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

21 July 2016

Adam Kalai

Papers citing "Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings"

50 / 779 papers shown

Title
Sentiment Analysis: Automatically Detecting Valence, Emotions, and Other Affectual States from Text Saif M. Mohammad 72 316 0 25 May 2020
RPD: A Distance Function Between Word Embeddings Xuhui Zhou Zaixiang Zheng Shujian Huang 33 3 0 16 May 2020
Mitigating Gender Bias in Machine Learning Data Sets Susan Leavy G. Meaney Karen Wade Derek Greene FaML 54 37 0 14 May 2020
Deep Learning for Political Science Kakia Chatsiou Slava Jankin AI4CE 68 13 0 13 May 2020
Towards Robustifying NLI Models Against Lexical Dataset Biases Xiang Zhou Joey Tianyi Zhou 64 58 0 10 May 2020
Cyberbullying Detection with Fairness Constraints O. Gencoglu 96 49 0 09 May 2020
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations Samson Tan Shafiq Joty Min-Yen Kan R. Socher 227 105 0 09 May 2020
Contextualizing Hate Speech Classifiers with Post-hoc Explanation Brendan Kennedy Xisen Jin Aida Mostafazadeh Davani Morteza Dehghani Xiang Ren 135 142 0 05 May 2020
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs Adina Williams Ryan Cotterell Lawrence Wolf-Sonkin Damián E. Blasi Hanna M. Wallach 82 19 0 03 May 2020
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation Tianlu Wang Xi Lin Nazneen Rajani Bryan McCann Vicente Ordonez Caimng Xiong CVBM 259 57 0 03 May 2020
Social Biases in NLP Models as Barriers for Persons with Disabilities Ben Hutchinson Vinodkumar Prabhakaran Emily L. Denton Kellie Webster Yu Zhong Stephen Denuyl 83 314 0 02 May 2020
Multi-Dimensional Gender Bias Classification Emily Dinan Angela Fan Ledell Yu Wu Jason Weston Douwe Kiela Adina Williams FaML 88 124 0 01 May 2020
Do Neural Ranking Models Intensify Gender Bias? Navid Rekabsaz Markus Schedl 77 58 0 01 May 2020
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research Soujanya Poria Devamanyu Hazarika Navonil Majumder Rada Mihalcea 144 221 0 01 May 2020
Hide-and-Seek: A Template for Explainable AI Thanos Tagaris A. Stafylopatis 26 6 0 30 Apr 2020
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting Guanhua Zhang Bing Bai Junqi Zhang Kun Bai Conghui Zhu Tiejun Zhao 103 71 0 29 Apr 2020
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People? K. Joseph Jonathan H. Morgan 55 27 0 25 Apr 2020
StereoSet: Measuring stereotypical bias in pretrained language models Moin Nadeem Anna Bethke Siva Reddy 103 1,027 0 20 Apr 2020
Unsupervised Discovery of Implicit Gender Bias Anjalie Field Yulia Tsvetkov 92 49 0 17 Apr 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg 156 388 0 16 Apr 2020
Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora Federico Bianchi Valerio Di Carlo P. Nicoli M. Palmonari 40 7 0 13 Apr 2020
Joint translation and unit conversion for end-to-end localization Georgiana Dinu Prashant Mathur Marcello Federico Stanislas Lauly Yaser Al-Onaizan 63 4 0 10 Apr 2020
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem Danielle Saunders Bill Byrne AI4CE 152 140 0 09 Apr 2020
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models Vered Shwartz Rachel Rudinger Oyvind Tafjord 62 51 0 06 Apr 2020
Directions in Abusive Language Training Data: Garbage In, Garbage Out Bertie Vidgen Leon Derczynski 110 267 0 03 Apr 2020
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat Alina Arseniev-Koehler J. Foster 84 49 0 24 Mar 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings H. Zhang Amy X. Lu Mohamed Abdalla Matthew B. A. McDermott Marzyeh Ghassemi 78 177 0 11 Mar 2020
Joint Multiclass Debiasing of Word Embeddings Radovan Popović Florian Lemmerich M. Strohmaier FaML 76 6 0 09 Mar 2020
Deconfounded Image Captioning: A Causal Retrospect Xu Yang Hanwang Zhang Jianfei Cai CML 79 127 0 09 Mar 2020
A Framework for the Computational Linguistic Analysis of Dehumanization Julia Mendelsohn Yulia Tsvetkov Dan Jurafsky 162 94 0 06 Mar 2020
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition Xiaolei Huang Linzi Xing Franck Dernoncourt Michael J. Paul 89 90 0 24 Feb 2020
Learning Certified Individually Fair Representations Anian Ruoss Mislav Balunović Marc Fischer Martin Vechev FaML 70 96 0 24 Feb 2020
Fair Adversarial Networks G. Cevora 46 4 0 23 Feb 2020
FrameAxis: Characterizing Microframe Bias and Intensity with Word Embedding Haewoon Kwak Jisun An Elise Jing Yong-Yeol Ahn 70 44 0 20 Feb 2020
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings Binny Mathew Sandipan Sikdar Florian Lemmerich M. Strohmaier 71 37 0 27 Jan 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 102 395 0 21 Jan 2020
Text-based inference of moral sentiment change Jing Yi Xie Renato Ferreira Pinto Junior Graeme Hirst Yang Xu 59 32 0 20 Jan 2020
Fair Transfer of Multiple Style Attributes in Text Karan Dabas Nishtha Madaan Vijay Arya S. Mehta Gautam Singh Tanmoy Chakraborty 87 2 0 18 Jan 2020
RobBERT: a Dutch RoBERTa-based Language Model Pieter Delobelle Thomas Winters Bettina Berendt 86 240 0 17 Jan 2020
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations Pinkesh Badjatiya Manish Gupta Vasudeva Varma 78 105 0 15 Jan 2020
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning R. Schuster Tal Schuster Yoav Meri Vitaly Shmatikov AAML 65 39 0 14 Jan 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 157 51 0 14 Jan 2020
Theory In, Theory Out: The uses of social theory in machine learning for social science J. Radford K. Joseph 50 44 0 09 Jan 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias Krishna Kumar Singh D. Mahajan Kristen Grauman Yong Jae Lee Matt Feiszli Deepti Ghadiyaram 71 109 0 09 Jan 2020
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers Bijeeta Pal Shruti Tople AAML 75 9 0 08 Jan 2020
Think Locally, Act Globally: Federated Learning with Local and Global Representations Paul Pu Liang Terrance Liu Liu Ziyin Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency FedML 126 570 0 06 Jan 2020
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling Yaoshiang Ho S. Wookey 70 538 0 03 Jan 2020
On the Morality of Artificial Intelligence A. Luccioni Yoshua Bengio AI4TS FaML 87 24 0 26 Dec 2019
Knowledge-based Conversational Search Svitlana Vakulenko 61 13 0 14 Dec 2019
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition Jinwoo Choi Chen Gao Joseph C.E. Messou Jia-Bin Huang 145 182 0 11 Dec 2019