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Plex: Towards Reliability using Pretrained Large Model Extensions


Jul 15, 2022
Dustin Tran, Jeremiah Liu, Michael W. Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, Kelly Buchanan, Kevin Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan

* Code available at https://goo.gle/plex-code 

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Measuring Recommender System Effects with Simulated Users


Jan 12, 2021
Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel

* Presented at Second Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web (FATES 2020) with the title "Beyond Next Step Bias: Trajectory Simulation for Understanding Recommender System Behavior" 

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Six Attributes of Unhealthy Conversation


Oct 14, 2020
Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen

* Appearing in the 4th Workshop on Online Abuse and Harms (2020) 

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Fairness without Demographics through Adversarially Reweighted Learning


Jun 24, 2020
Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi


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Toxicity Detection: Does Context Really Matter?


Jun 01, 2020
John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos


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Classifying Constructive Comments


Apr 14, 2020
Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada

* Withdrawn pending a new version 

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Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems


Nov 06, 2019
Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel


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Debiasing Embeddings for Reduced Gender Bias in Text Classification


Aug 07, 2019
Flavien Prost, Nithum Thain, Tolga Bolukbasi


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