Ben Hutchinson

According to our database, Ben Hutchinson authored at least 34 papers between 2001 and 2024.

Collaborative distances:

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

2024

"It's how you do things that matters": Attending to Process to Better Serve Indigenous Communities with Language Technologies.

Ned Cooper, Courtney Heldreth, Ben Hutchinson

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

PaLM: Scaling Language Modeling with Pathways.

Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel

J. Mach. Learn. Res., 2023

2022

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, Yonghui Wu

Trans. Mach. Learn. Res., 2022

Cultural Incongruencies in Artificial Intelligence.

Vinodkumar Prabhakaran, Rida Qadri, Ben Hutchinson

CoRR, 2022

LaMDA: Language Models for Dialog Applications.

Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Kathleen S. Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Agüera y Arcas, Claire Cui, Marian Croak, Ed H. Chi, Quoc Le

CoRR, 2022

Underspecification in Scene Description-to-Depiction Tasks.

Ben Hutchinson, Jason Baldridge, Vinodkumar Prabhakaran

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Evaluation Gaps in Machine Learning Practice.

Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran

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

2021

Advances and Open Problems in Federated Learning.

Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

Found. Trends Mach. Learn., 2021

Thinking Beyond Distributions in Testing Machine Learned Models.

Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran

CoRR, 2021

Re-imagining Algorithmic Fairness in India and Beyond.

Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran

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

2020

Unintended machine learning biases as social barriers for persons with disabilitiess.

Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl

ACM SIGACCESS Access. Comput., 2020

Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives.

Angie Peng, Jeff Naecker, Ben Hutchinson, Andrew Smart, Nyalleng Moorosi

CoRR, 2020

Non-portability of Algorithmic Fairness in India.

Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Vinodkumar Prabhakaran

CoRR, 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

Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning.

Andrew Smart, Larry James, Ben Hutchinson, Simone Wu, Shannon Vallor

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

Social Biases in NLP Models as Barriers for Persons with Disabilities.

Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Advances and Open Problems in Federated Learning.

Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

CoRR, 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

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

2009

Using the Web for Language Independent Spellchecking and Autocorrection.

Casey Whitelaw, Ben Hutchinson, Grace Chung, Ged Ellis

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2007

TAT: An Author Profiling Tool with Application to Arabic Emails.

Dominique Estival, Tanja Gaustad, Son Bao Pham, Will Radford, Ben Hutchinson

Proceedings of the Australasian Language Technology Workshop, 2007

2005

The automatic acquisition of knowledge about discourse connectives.

Ben Hutchinson

PhD thesis, 2005

MDL-based Acquisition of Substitutability Relationships between Discourse Connectives.

Ben Hutchinson

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Modelling the Substitutability of Discourse Connectives.

Ben Hutchinson

Proceedings of the ACL 2005, 2005

2004

Mining the Web for Discourse Markers.

Ben Hutchinson

Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

Acquiring the Meaning of Discourse Markers.

Ben Hutchinson

Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2001

A functional approach to speech recognition evaluation.

Ben Hutchinson

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Um, one large pizza. A preliminary study of disfluency modelling for improving ASR.

Ben Hutchinson, Cécile Pereira

Proceedings of the ISCA Tutorial and Research Workshop (ITRW) on Disfluency in Spontaneous Speech, 2001