DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems

9 November 2022

Papers citing "DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems"

12 / 12 papers shown

Title
Large Process Models: A Vision for Business Process Management in the Age of Generative AI T. Kampik C. Warmuth Adrian Rebmann Ron Agam Lukas N. P. Egger ... Han van der Aa Artem Polyvyanyy S. Rinderle-Ma Ingo Weber Matthias Weidlich 81 11 0 20 Jan 2025
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding Nabeel Seedat Caterina Tozzi Andrea Hita Ardiaca M. Schaar James Weatherall Adam Taylor 108 0 0 20 Nov 2024
Matchmaker: Self-Improving Large Language Model Programs for Schema Matching Nabeel Seedat M. Schaar 29 2 0 31 Oct 2024
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling Nabeel Seedat Nicolas Huynh F. Imrie Mihaela van der Schaar 36 0 0 19 Jun 2024
AI Competitions and Benchmarks: Dataset Development Romain Egele Julio C. S. Jacques Junior Jan N. van Rijn Isabelle M Guyon Xavier Baró Albert Clapés Prasanna Balaprakash Sergio Escalera T. Moeslund Jun Wan 40 0 0 15 Apr 2024
DMLR: Data-centric Machine Learning Research -- Past, Present and Future Luis Oala M. Maskey Lilith Bat-Leah Alicia Parrish Nezihe Merve Gürel ... Lora Aroyo Ce Zhang Joaquin Vanschoren Isabelle Guyon Peter Mattson AI4CE 20 11 0 21 Nov 2023
Data Leakage and Evaluation Issues in Micro-Expression Analysis Tuomas Varanka Yante Li Wei Peng Guoying Zhao AAML 22 5 0 21 Nov 2022
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 159 1,766 0 02 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 65 389 0 20 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 157 4,205 0 04 May 2011