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Ed H. Chi

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HyperPrompt: Prompt-based Task-Conditioning of Transformers

Mar 01, 2022
Yun He, Huaixiu Steven Zheng, Yi Tay, Jai Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, YaGuang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi

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Algorithms for Efficiently Learning Low-Rank Neural Networks

Feb 03, 2022
Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi

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DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning

Jun 09, 2021
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi

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Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning

Jun 04, 2021
Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi

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Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective

May 20, 2021
Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel

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Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities

May 06, 2021
Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen

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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

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Learned Indexes for a Google-scale Disk-based Database

Dec 23, 2020
Hussam Abu-Libdeh, Deniz Altınbüken, Alex Beutel, Ed H. Chi, Lyric Doshi, Tim Kraska, Xiaozhou, Li, Andy Ly, Christopher Olston

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Deep Hash Embedding for Large-Vocab Categorical Feature Representations

Oct 21, 2020
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi

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