Margaret Mitchell

According to our database, Margaret Mitchell authored at least 78 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Evaluating the Social Impact of Generative AI Systems in Systems and Society.

Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan K. Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev

CoRR, 2023

Stable Bias: Analyzing Societal Representations in Diffusion Models.

Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite

CoRR, 2023

Stable Bias: Evaluating Societal Representations in Diffusion Models.

Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML.

Giada Pistilli, Carlos Muñoz Ferrandis, Yacine Jernite, Margaret Mitchell

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Algorithmic fairness in pandemic forecasting: lessons from COVID-19.

Thomas C. Tsai, Sercan Ö. Arik, Benjamin H. Jacobson, Jinsung Yoon, Nate Yoder, Dario Sava, Margaret Mitchell, Garth Graham, Tomas Pfister

npj Digit. Medicine, 2022

Measuring Data.

Margaret Mitchell, Alexandra Sasha Luccioni, Nathan Lambert, Marissa Gerchick, Angelina McMillan-Major, Ezinwanne Ozoani, Nazneen Rajani, Tristan Thrush, Yacine Jernite, Douwe Kiela

CoRR, 2022

The Stack: 3 TB of permissively licensed source code.

Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Carlos Muñoz Ferrandis, Yacine Jernite, Margaret Mitchell, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro von Werra, Harm de Vries

CoRR, 2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, et al.

CoRR, 2022

A Human Rights-Based Approach to Responsible AI.

Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru, Iason Gabriel

CoRR, 2022

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements.

Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Alexandra Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo, Omar Sanseviero, Mario Sasko, Albert Villanova del Moral, Quentin Lhoest, Julien Chaumond, Margaret Mitchell, Alexander M. Rush, Thomas Wolf, Douwe Kiela

CoRR, 2022

Data Governance in the Age of Large-Scale Data-Driven Language Technology.

Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir R. Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell

CoRR, 2022

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset.

Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Data Governance in the Age of Large-Scale Data-Driven Language Technology.

Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

SEAL: Interactive Tool for Systematic Error Analysis and Labeling.

Nazneen Rajani, Weixin Liang, Lingjiao Chen, Margaret Mitchell, James Zou

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure.

Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus.

Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Measuring Model Biases in the Absence of Ground Truth.

Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing.

Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes

Proceedings of the FAT* '20: Conference on Fairness, 2020

Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing.

Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

Diversity and Inclusion Metrics in Subset Selection.

Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Interpreting Social Respect: A Normative Lens for ML Models.

Ben Hutchinson, K. J. Pittl, Margaret Mitchell

CoRR, 2019

Detecting Bias with Generative Counterfactual Face Attribute Augmentation.

Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru

CoRR, 2019

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.

Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.

Sarah Bird, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Model Cards for Model Reporting.

Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

50 Years of Test (Un)fairness: Lessons for Machine Learning.

Ben Hutchinson, Margaret Mitchell

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Perturbation Sensitivity Analysis to Detect Unintended Model Biases.

Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Mitigating Unwanted Biases with Adversarial Learning.

Brian Hu Zhang, Blake Lemoine, Margaret Mitchell

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017

Guest Editorial: Image and Language Understanding.

Margaret Mitchell, John C. Platt, Kate Saenko

Int. J. Comput. Vis., 2017

VQA: Visual Question Answering - www.visualqa.org.

Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra

Int. J. Comput. Vis., 2017

Multi-Task Learning for Mental Health using Social Media Text.

Adrian Benton, Margaret Mitchell, Dirk Hovy

CoRR, 2017

Improving Smiling Detection with Race and Gender Diversity.

Hee Jung Ryu, Margaret Mitchell, Hartwig Adam

CoRR, 2017

Multitask Learning for Mental Health Conditions with Limited Social Media Data.

Adrian Benton, Margaret Mitchell, Dirk Hovy

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Large Scale Retrieval and Generation of Image Descriptions.

Vicente Ordonez, Xufeng Han, Polina Kuznetsova, Girish Kulkarni, Margaret Mitchell, Kota Yamaguchi, Karl Stratos, Amit Goyal, Jesse Dodge, Alyssa C. Mensch, Hal Daumé III, Alexander C. Berg, Yejin Choi, Tamara L. Berg

Int. J. Comput. Vis., 2016

Generating Natural Questions About an Image.

Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Larry Zitnick, Margaret Mitchell, Xiaodong He, Lucy Vanderwende

CoRR, 2016

Memory-augmented Attention Modelling for Videos.

Rasool Fakoor, Abdel-rahman Mohamed, Margaret Mitchell, Sing Bing Kang, Pushmeet Kohli

CoRR, 2016

Measuring Machine Intelligence Through Visual Question Answering.

C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh

AI Mag., 2016

Visual Storytelling.

Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell

Proceedings of the NAACL HLT 2016, 2016

Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels.

Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Generating Natural Questions About an Image.

Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, Lucy Vanderwende

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Microsummarization of Online Reviews: An Experimental Study.

Rebecca Mason, Benjamin Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, Bill Dolan, Kristina Toutanova, Margaret Mitchell

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning Visual Classifiers using Human-centric Annotations.

Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick

CoRR, 2015

On Available Corpora for Empirical Methods in Vision & Language.

Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell

CoRR, 2015

Exploring Nearest Neighbor Approaches for Image Captioning.

Jacob Devlin, Saurabh Gupta, Ross B. Girshick, Margaret Mitchell, C. Lawrence Zitnick

CoRR, 2015

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses.

Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Quantifying the Language of Schizophrenia in Social Media.

Margaret Mitchell, Kristy Hollingshead, Glen Coppersmith

Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2015

CLPsych 2015 Shared Task: Depression and PTSD on Twitter.

Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, Margaret Mitchell

Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2015

VQA: Visual Question Answering.

Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A Survey of Current Datasets for Vision and Language Research.

Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

From captions to visual concepts and back.

Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets.

Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Language Models for Image Captioning: The Quirks and What Works.

Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Crowdsourcing Language Generation Templates for Dialogue Systems.

Margaret Mitchell, Dan Bohus, Ece Kamar

Proceedings of the INLG 2014, 2014

Low-Resource Semantic Role Labeling.

Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, Mark Dredze

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

I'm a Belieber: Social Roles via Self-identification and Conceptual Attributes.

Charley Beller, Rebecca Knowles, Craig Harman, Shane Bergsma, Margaret Mitchell, Benjamin Van Durme

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Generating reference to visible objects.

Margaret Mitchell

PhD thesis, 2013

Overview of the TAC2013 Knowledge Base Population Evaluation: English Sentiment Slot Filling.

Margaret Mitchell

Proceedings of the Sixth Text Analysis Conference, 2013

Generating Expressions that Refer to Visible Objects.

Margaret Mitchell, Kees van Deemter, Ehud Reiter

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Graphs and Spatial Relations in the Generation of Referring Expressions.

Jette Viethen, Margaret Mitchell, Emiel Krahmer

Proceedings of the ENLG 2013, 2013

Open Domain Targeted Sentiment.

Margaret Mitchell, Jacqui Aguilar, Theresa Wilson, Benjamin Van Durme

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Typicality and Object Reference.

Margaret Mitchell, Ehud Reiter, Kees van Deemter

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

Discourse-Based Modeling for AAC.

Margaret Mitchell, Richard Sproat

Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies, 2012

Detecting Visual Text.

Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Karl Stratos, Kota Yamaguchi, Yejin Choi, Hal Daumé III, Alexander C. Berg, Tamara L. Berg

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Midge: Generating Descriptions of Images.

Margaret Mitchell, Xufeng Han, Jeff Hayes

Proceedings of the INLG 2012 - Proceedings of the Seventh International Natural Language Generation Conference, 30 May 2012, 2012

Midge: Generating Image Descriptions From Computer Vision Detections.

Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Stratos, Xufeng Han, Alyssa C. Mensch, Alexander C. Berg, Tamara L. Berg, Hal Daumé III

Proceedings of the EACL 2012, 2012

Understanding and predicting importance in images.

Alexander C. Berg, Tamara L. Berg, Hal Daumé III, Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Aneesh Sood, Karl Stratos, Kota Yamaguchi

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Spoken Language Derived Measures for Detecting Mild Cognitive Impairment.

Brian Roark, Margaret Mitchell, John-Paul Hosom, Kristy Hollingshead, Jeffrey A. Kaye

IEEE Trans. Speech Audio Process., 2011

Two Approaches for Generating Size Modifiers.

Margaret Mitchell, Kees van Deemter, Ehud Reiter

Proceedings of the ENLG 2011, 2011

On the Use of Size Modifiers When Referring to Visible Objects.

Margaret Mitchell, Kees van Deemter, Ehud Reiter

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Semi-Supervised Modeling for Prenominal Modifier Ordering.

Margaret Mitchell, Aaron Dunlop, Brian Roark

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010

Prenominal Modifier Ordering via Multiple Sequence Alignment.

Aaron Dunlop, Margaret Mitchell, Brian Roark

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Natural Reference to Objects in a Visual Domain.

Margaret Mitchell, Kees van Deemter, Ehud Reiter

Proceedings of the INLG 2010, 2010

A Flexible Approach to Class-Based Ordering of Prenominal Modifiers.

Margaret Mitchell

Proceedings of the Empirical Methods in Natural Language Generation: Data-oriented Methods and Empirical Evaluation, 2010

2009

Class-Based Ordering of Prenominal Modifiers.

Margaret Mitchell

Proceedings of the ENLG 2009, 2009

2007

Syntactic complexity measures for detecting Mild Cognitive Impairment.

Brian Roark, Margaret Mitchell, Kristy Hollingshead

Proceedings of the Biological, translational, and clinical language processing, 2007

2004

Creating Minimal Vertex Series Parallel Graphs from Directed Acyclic Graphs.

Margaret Mitchell

Proceedings of the Australasian Symposium on Information Visualisation, 2004

2001

Use of Directed Acyclic Graph Analysis in Generating Instructions for Multiple Users.

Margaret Mitchell

Proceedings of the Australasian Symposium on Information Visualisation, 2001

2000

Use of Series Parallel Digraph Analysis in Generating Instructions for Multiple Users.

Margaret Mitchell

Proceedings of the Visualisation 2000, 2000