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On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models


Sep 12, 2022
Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop, Kevin Regan, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan

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* ORSUM - ACM RecSys, September 23, 2022, Seattle, WA 

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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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* 52 pages, 4 figures, in submission 

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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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Understanding and Improving Knowledge Distillation


Feb 10, 2020
Jiaxi Tang, Rakesh Shivanna, Zhe Zhao, Dong Lin, Anima Singh, Ed H. Chi, Sagar Jain

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How Many Pairwise Preferences Do We Need to Rank A Graph Consistently?


Nov 06, 2018
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya

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* To appear in Thirty-Third AAAI Conference on Artificial Intelligence, 2019 

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