1. Martín Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , Manjunath Kudlur , Josh Levenberg , Rajat Monga , Sherry Moore , Derek Gordon Murray , Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2016 . TensorFlow: A System for Large-Scale Machine Learning. In OSDI. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2016. TensorFlow: A System for Large-Scale Machine Learning. In OSDI.
2. Ashvin Agrawal Rony Chatterjee Carlo Curino Avrilia Floratou Neha Godwal Matteo Interlandi Alekh Jindal Konstantinos Karanasos Subru Krishnan Brian Kroth Jyoti Leeka Kwanghyun Park Hiren Patel Olga Poppe Fotis Psallidas Raghu Ramakrishnan Abhishek Roy Karla Saur Rathijit Sen Markus Weimer Travis Wright and Yiwen Zhu. 2020. Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. In CIDR. Ashvin Agrawal Rony Chatterjee Carlo Curino Avrilia Floratou Neha Godwal Matteo Interlandi Alekh Jindal Konstantinos Karanasos Subru Krishnan Brian Kroth Jyoti Leeka Kwanghyun Park Hiren Patel Olga Poppe Fotis Psallidas Raghu Ramakrishnan Abhishek Roy Karla Saur Rathijit Sen Markus Weimer Travis Wright and Yiwen Zhu. 2020. Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. In CIDR.
3. POLARIS
4. Zeeshan Ahmed , Saeed Amizadeh , Mikhail Bilenko , Rogan Carr , Wei-Sheng Chin , Yael Dekel , Xavier Dupré , Vadim Eksarevskiy , Senja Filipi , Tom Finley , Abhishek Goswami , Monte Hoover , Scott Inglis , Matteo Interlandi , Najeeb Kazmi , Gleb Krivosheev , Pete Luferenko , Ivan Matantsev , Sergiy Matusevych , Shahab Moradi , Gani Nazirov , Justin Ormont , Gal Oshri , Artidoro Pagnoni , Jignesh Parmar , Prabhat Roy , Mohammad Zeeshan Siddiqui , Markus Weimer, Shauheen Zahirazami, and Yiwen Zhu. 2019 . Machine Learning at Microsoft with ML.NET. In SIGKDD. Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupré, Vadim Eksarevskiy, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, and Yiwen Zhu. 2019. Machine Learning at Microsoft with ML.NET. In SIGKDD.
5. Maureen Daum Olga Poppe Brandon Haynes Anna Pavlenko Ayushi Gupta Karthik Ramachandra Carlo Curino Andreas Mueller Wentao Wu Hiren Patel Alekh Jindal , Venkatesh Emani . 2021 . Magpie: Python at Speed and Scale using Cloud Backends. In CIDR. Maureen Daum Olga Poppe Brandon Haynes Anna Pavlenko Ayushi Gupta Karthik Ramachandra Carlo Curino Andreas Mueller Wentao Wu Hiren Patel Alekh Jindal, Venkatesh Emani. 2021. Magpie: Python at Speed and Scale using Cloud Backends. In CIDR.