A Data Quality-Driven View of MLOps

15 February 2021

Nezihe Merve Gürel

Papers citing "A Data Quality-Driven View of MLOps"

30 / 30 papers shown

Title
Matchmaker: Self-Improving Large Language Model Programs for Schema Matching Nabeel Seedat M. Schaar 39 2 0 31 Oct 2024
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach Firas Bayram Bestoun S. Ahmed OOD 34 0 0 28 Oct 2024
Machine Learning Operations: A Mapping Study Abhijit Chakraborty Suddhasvatta Das Kevin Gary 35 0 0 28 Sep 2024
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling Nabeel Seedat Nicolas Huynh F. Imrie Mihaela van der Schaar 40 0 0 19 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 41 1 0 01 Jun 2024
"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning Shreya Shankar Rolando Garcia J. M. Hellerstein Aditya G. Parameswaran 22 10 0 25 Mar 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures Nicolas Huynh Jeroen Berrevoets Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 39 1 0 26 Feb 2024
TRIAGE: Characterizing and auditing training data for improved regression Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 13 5 0 29 Oct 2023
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark Lasse Hansen Nabeel Seedat M. Schaar Andrija Petrović 44 19 0 25 Oct 2023
MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis Angelo Jovin Yamachui Sitcheu Nils Friederich Simon Baeuerle Oliver Neumann Markus Reischl Ralf Mikut 13 2 0 27 Sep 2023
VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph Jicheng Yuan Anh Le-Tuan Manh Nguyen-Duc T. Tran M. Hauswirth Danh Le-Phuoc 29 4 0 24 Sep 2023
MLOps: A Review S. Wazir Gautam Siddharth Kashyap P. Saxena 17 66 0 19 Aug 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 27 2 0 04 May 2023
The Pipeline for the Continuous Development of Artificial Intelligence Models -- Current State of Research and Practice M. Steidl Michael Felderer Rudolf Ramler 19 41 0 21 Jan 2023
Data-Centric Artificial Intelligence Johannes Jakubik Michael Vossing Niklas Kühl J. Walk G. Satzger GNN 24 45 0 22 Dec 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data Nabeel Seedat Jonathan Crabbé Ioana Bica M. Schaar 17 24 0 24 Oct 2022
Operationalizing Machine Learning: An Interview Study Shreya Shankar Rolando Garcia J. M. Hellerstein Aditya G. Parameswaran 68 51 0 16 Sep 2022
Active-Learning-as-a-Service: An Automatic and Efficient MLOps System for Data-Centric AI Yizheng Huang Huaizheng Zhang Yuanming Li C. Lau Yang You 19 2 0 19 Jul 2022
A domain-specific language for describing machine learning datasets Joan Giner-Miguelez Abel Gómez Jordi Cabot ALM 19 25 0 05 Jul 2022
Diagnosing Ensemble Few-Shot Classifiers Weikai Yang Xi Ye Xingxing Zhang Lanxi Xiao Jiazhi Xia Zhongyuan Wang Jun Zhu Hanspeter Pfister Shixia Liu 30 16 0 09 Jun 2022
Designing an Efficient End-to-end Machine Learning Pipeline for Real-time Empty-shelf Detection Dipendra Jha A. Mahjoubfar Anupama Joshi 17 4 0 25 May 2022
Machine Learning Operations (MLOps): Overview, Definition, and Architecture Dominik Kreuzberger Niklas Kühl Sebastian Hirschl VLM AI4CE 11 331 0 04 May 2022
MLOps -- Definitions, Tools and Challenges Georgios Symeonidis Evangelos Nerantzis A. Kazakis G. Papakostas 27 90 0 01 Jan 2022
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 27 325 0 13 Dec 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 14 37 0 12 Nov 2021
Enabling SQL-based Training Data Debugging for Federated Learning Yejia Liu Weiyuan Wu Lampros Flokas Jiannan Wang Eugene Wu FedML 23 15 0 26 Aug 2021
Pastprop-RNN: improved predictions of the future by correcting the past A. M. Baptista Yassine Baghoussi Carlos Soares João Mendes-Moreira Miguel Arantes AI4TS 11 2 0 25 Jun 2021
Online Active Model Selection for Pre-trained Classifiers Mohammad Reza Karimi Nezihe Merve Gürel Bojan Karlavs Johannes Rausch Ce Zhang Andreas Krause 25 22 0 19 Oct 2020
Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise Cédric Renggli Luka Rimanic Luka Kolar Wentao Wu Ce Zhang 27 3 0 16 Oct 2020