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Measuring Model Biases in the Absence of Ground Truth

Mar 05, 2021
Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell

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

Oct 23, 2020
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell

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Diversity and Inclusion Metrics in Subset Selection

Feb 09, 2020
Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern

* AIES 2020: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 

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Perturbation Sensitivity Analysis to Detect Unintended Model Biases

Oct 09, 2019
Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell

* EMNLP 2019 Short Paper 

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Detecting Bias with Generative Counterfactual Face Attribute Augmentation

Jun 18, 2019
Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru

* Presented at CVPR 2019 Workshop on Fairness Accountability Transparency and Ethics in Computer Vision 

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

Dec 03, 2018
Ben Hutchinson, Margaret Mitchell

* FAT* '19: Conference on Fairness, Accountability, and Transparency (FAT* '19), January 29--31, 2019, Atlanta, GA, USA 

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InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity

Jul 17, 2018
Hee Jung Ryu, Hartwig Adam, Margaret Mitchell

* Presented as a talk at the 2018 Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML 2018) 

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Mitigating Unwanted Biases with Adversarial Learning

Jan 22, 2018
Brian Hu Zhang, Blake Lemoine, Margaret Mitchell

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Multi-Task Learning for Mental Health using Social Media Text

Dec 10, 2017
Adrian Benton, Margaret Mitchell, Dirk Hovy

* Proceedings of the 15th Conference of the EACL (2017) 152-162 

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Memory-augmented Attention Modelling for Videos

Apr 24, 2017
Rasool Fakoor, Abdel-rahman Mohamed, Margaret Mitchell, Sing Bing Kang, Pushmeet Kohli

* Revised version, minor changes, add the link for the source codes 

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VQA: Visual Question Answering

Oct 27, 2016
Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Dhruv Batra, Devi Parikh

* The first three authors contributed equally. International Conference on Computer Vision (ICCV) 2015 

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Measuring Machine Intelligence Through Visual Question Answering

Aug 31, 2016
C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh

* AI Magazine, 2016 

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Generating Natural Questions About an Image

Jun 09, 2016
Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, Lucy Vanderwende

* Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics 

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Visual Storytelling

Apr 13, 2016
Ting-Hao, Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell

* to appear in NAACL 2016 

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

Apr 12, 2016
Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross Girshick

* To appear in CVPR 2016 

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Language Models for Image Captioning: The Quirks and What Works

Oct 14, 2015
Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell

* See for project information 

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A Survey of Current Datasets for Vision and Language Research

Aug 19, 2015
Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao, Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell

* To appear in EMNLP 2015, short proceedings. Dataset analysis and discussion expanded, including an initial examination into reporting bias for one of them. F.F. and N.M. contributed equally to this work 

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

Jun 24, 2015
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan

* 6 pages, to appear at ACL 2015 

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

Jun 22, 2015
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan

* A. Sordoni, M. Galley, M. Auli, C. Brockett, Y. Ji, M. Mitchell, J.-Y. Nie, J. Gao, B. Dolan. 2015. A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. In Proc. of NAACL-HLT. Pages 196-205 

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Exploring Nearest Neighbor Approaches for Image Captioning

May 17, 2015
Jacob Devlin, Saurabh Gupta, Ross Girshick, Margaret Mitchell, C. Lawrence Zitnick

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From Captions to Visual Concepts and Back

Apr 14, 2015
Hao Fang, Saurabh Gupta, Forrest Iandola, Rupesh Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig

* version corresponding to CVPR15 paper 

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