Operationalizing Machine Learning: An Interview Study

Operationalizing Machine Learning: An Interview Study

16 September 2022

J. M. Hellerstein

Aditya G. Parameswaran

Papers citing "Operationalizing Machine Learning: An Interview Study"

12 / 12 papers shown

Title
Data Makes Better Data Scientists Jinjin Zhao A. Gal Sanjay Krishnan 24 2 0 27 May 2024
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes Simran Arora Brandon Yang Sabri Eyuboglu A. Narayan Andrew Hojel Immanuel Trummer Christopher Ré SyDa 47 69 0 19 Apr 2023
Causal Inference out of Control: Estimating the Steerability of Consumption Gary Cheng Moritz Hardt Celestine Mendler-Dünner CML 31 1 0 10 Feb 2023
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems Huong Ha 19 0 0 16 Dec 2022
Rethinking Streaming Machine Learning Evaluation Shreya Shankar Bernease Herman Aditya G. Parameswaran LRM 46 6 0 23 May 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery Zhiqiu Lin Jia Shi Deepak Pathak Deva Ramanan CLL VLM 137 91 0 17 Jan 2022
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 225 201 0 21 Oct 2021
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 59 77 0 05 Aug 2021
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows Doris Xin Eva Yiwei Wu D. Lee Niloufar Salehi Aditya G. Parameswaran 50 91 0 13 Jan 2021
Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development Angela Lee Doris Xin D. Lee Aditya G. Parameswaran HAI 49 12 0 04 May 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI Dakuo Wang Justin D. Weisz Michael J. Muller Parikshit Ram Werner Geyer Casey Dugan Y. Tausczik Horst Samulowitz Alexander G. Gray 171 309 0 05 Sep 2019
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018