What can Data-Centric AI Learn from Data and ML Engineering?

13 December 2021

Papers citing "What can Data-Centric AI Learn from Data and ML Engineering?"

24 / 24 papers shown

Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection ModelsConference on Fairness, Accountability and Transparency (FAccT), 2025

218

10 May 2025

Data Acquisition for Improving Model Fairness using Reinforcement Learning

Jahid Hasan

Romila Pradhan

213

04 Dec 2024

Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting

283

29 Jul 2024

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes

346

19 Dec 2023

Better, Not Just More: Data-Centric Machine Learning for Earth ObservationIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023

R. Roscher

M. Rußwurm

Caroline Gevaert

Michael C. Kampffmeyer

...

466

08 Dec 2023

Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination

182

30 Oct 2023

TRIAGE: Characterizing and auditing training data for improved regressionNeural Information Processing Systems (NeurIPS), 2023

192

29 Oct 2023

Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test DataNeural Information Processing Systems (NeurIPS), 2023

229

25 Oct 2023

Dataset Factory: A Toolchain For Generative Computer Vision Datasets

Daniel Kharitonov

Ryan Turner

195

20 Sep 2023

Towards Data-centric Graph Machine Learning: Review and Outlook

260

20 Sep 2023

Synthetic Alone: Exploring the Dark Side of Synthetic Data for Grammatical Error Correction

171

26 Jun 2023

GPT Self-Supervision for a Better Data Annotator

Xiaohuan Pei

Yanxi Li

Chang Xu

151

07 Jun 2023

Transition Role of Entangled Data in Quantum Machine LearningNature Communications (Nat. Commun.), 2023

293

06 Jun 2023

Dynamic Datasets and Market Environments for Financial Reinforcement LearningMachine-mediated learning (ML), 2023

Daochen Zha

228

25 Apr 2023

Data-centric Artificial Intelligence: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023

Daochen Zha

Fan Yang

492

341

17 Mar 2023

Learning to Select Pivotal Samples for Meta Re-weightingAAAI Conference on Artificial Intelligence (AAAI), 2023

194

09 Feb 2023

Data-centric AI: Perspectives and ChallengesSDM (SDM), 2023

Daochen Zha

Zaid Pervaiz Bhat

Kwei-Herng Lai

Fan Yang

Helen Zhou

240

12 Jan 2023

DMOps: Data Management Operation and Recipes

E. Choi

Chanjun Park

216

02 Jan 2023

The Principles of Data-Centric AI (DCAI)Communications of the ACM (CACM), 2022

M. H. Jarrahi

Ali Memariani

Shion Guha

165

26 Nov 2022

DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systemsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022

Nabeel Seedat

F. Imrie

M. Schaar

239

09 Nov 2022

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular dataNeural Information Processing Systems (NeurIPS), 2022

175

24 Oct 2022

DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with TreemapsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2022

219

14 May 2022

Modern Views of Machine Learning for Precision PsychiatryPatterns (Patterns), 2022

197

139

04 Apr 2022

Data Smells: Categories, Causes and Consequences, and Detection of Suspicious Data in AI-based Systems

Harald Foidl

Michael Felderer

Rudolf Ramler

206

19 Mar 2022