Nithum Thain
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Plex: Towards Reliability using Pretrained Large Model Extensions
Du Phan
Mark Patrick Collier
Zi Wang
Zelda Mariet
Clara Huiyi Hu
Neil Band
Tim G. J. Rudner
Karan Singhal
Joost van Amersfoort
Andreas Christian Kirsch
Rodolphe Jenatton
Honglin Yuan
Kelly Buchanan
D. Sculley
Yarin Gal
ICML 2022 Pre-training Workshop (2022)
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems
Anu Aradhana Sinha
Alex Beutel
WSDM 2021
Fairness without Demographics through Adversarially Reweighted Learning
Alex Beutel
Kang Lee
Advances in Neural Information Processing Systems 33 (2020)
Debiasing Embeddings for Fairer Text Classification
1st ACL Workshop on Gender Bias for Natural Language Processing (2019)
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
Daniel Borkan
ACM Conference on Fairness, Accountability, and Transparency (2019) (to appear)
Measuring and Mitigating Unintended Bias in Text Classification
John Li
AAAI/ACM Conference on AI, Ethics, and Society (2018)
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community
Cristian Danescu
Dario Taraborelli
Yiqing Hua
ACL (2018), pp. 5
Conversations Gone Awry: Detecting Warning Signs of Conversational Failure
Justine Zhang
Jonathan P. Chang
Cristian Danescu-Niculescu-Mizil
Dario Taraborelli
Proceedings of ACL, ACM Digital Library (2018)
Ex Machina: Personal attacks seen at scale
Proceedings of the 26th International Conference on World Wide Web (2017), pp. 1391-1399
