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Improving Multi-Task Generalization via Regularizing Spurious Correlation


May 19, 2022
Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, 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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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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DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems


Aug 19, 2020
Ruoxi Wang, Rakesh Shivanna, Derek Z. Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi


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Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems


Aug 17, 2020
Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui

* 9 pages 

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Small Towers Make Big Differences


Aug 13, 2020
Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Ed H. Chi


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Self-supervised Learning for Deep Models in Recommendations


Jul 25, 2020
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix Yu, Aditya Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi, Kang, Evan Ettinger


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Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model


Jun 09, 2020
Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei


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Fairness in Recommendation Ranking through Pairwise Comparisons


Mar 02, 2019
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow


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