Continuous Integration of Machine Learning Models with ease.ml/ci:
Towards a Rigorous Yet Practical Treatment

Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment

1 March 2019

Cédric Renggli

Kevin Schawinski

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Papers citing "Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment"

11 / 11 papers shown

Title
Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository Lukas Heiland Marius Hauser Justus Bogner AI4TS 61 10 0 23 Mar 2023
The Pipeline for the Continuous Development of Artificial Intelligence Models -- Current State of Research and Practice M. Steidl Michael Felderer Rudolf Ramler 73 49 0 21 Jan 2023
On Continuous Integration / Continuous Delivery for Automated Deployment of Machine Learning Models using MLOps Satvik Garg Pradyumn Pundir Geetanjali Rathee P. K. Gupta Somya Garg Saransh Ahlawat VLM 13 56 0 07 Feb 2022
A Data Quality-Driven View of MLOps Cédric Renggli Luka Rimanic Nezihe Merve Gürel Bojan Karlavs Wentao Wu Ce Zhang AI4TS 46 66 0 15 Feb 2021
Enabling Collaborative Data Science Development with the Ballet Framework Micah J. Smith Jürgen Cito Kelvin Lu K. Veeramachaneni 86 8 0 14 Dec 2020
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence Wiebke Toussaint Aaron Yi Ding 88 12 0 01 Dec 2020
Software engineering for artificial intelligence and machine learning software: A systematic literature review E. Nascimento Anh Nguyen-Duc Ingrid Sundbø T. Conte 84 42 0 07 Nov 2020
Validate and Enable Machine Learning in Industrial AI Hongbo Zou Guangjing Chen P. Xie S. Chen Yongtian He ... Tristan Bala K. Tulip Yuqi Wang Shenlin Qin Eric Xing AI4CE 20 0 0 30 Oct 2020
Model Assertions for Monitoring and Improving ML Models Daniel Kang Deepti Raghavan Peter Bailis Matei A. Zaharia 102 59 0 03 Mar 2020
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 111 209 0 12 Nov 2019
Studying Software Engineering Patterns for Designing Machine Learning Systems Hironori Washizaki Hiromu Uchida Foutse Khomh Yann-Gaël Guéhéneuc 70 77 0 10 Oct 2019