Management of Machine Learning Lifecycle Artifacts: A Survey

21 October 2022

Papers citing "Management of Machine Learning Lifecycle Artifacts: A Survey"

6 / 6 papers shown

Title
Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers Harald Semmelrock Tony Ross-Hellauer Simone Kopeinik Dieter Theiler Armin Haberl Stefan Thalmann Dominik Kowald 62 5 0 20 Jun 2024
Model Callers for Transforming Predictive and Generative AI Applications Mukesh Dalal 16 0 0 17 Apr 2024
An Empirical Study of Challenges in Machine Learning Asset Management Zhimin Zhao Yihao Chen A. A. Bangash Bram Adams Ahmed E. Hassan 21 5 0 25 Feb 2024
VeML: An End-to-End Machine Learning Lifecycle for Large-scale and High-dimensional Data Van-Duc Le Tien-Cuong Bui Wen-Syan Li VLM MLLM 14 0 0 25 Apr 2023
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines Zhaojing Luo Sai-Ho Yeung Meihui Zhang Kaiping Zheng Lei Zhu Gang Chen Feiyi Fan Qian Lin K. Ngiam Beng Chin Ooi 16 29 0 17 Oct 2020
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 75 749 0 13 Nov 2018