ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.13028
18
11

DMLR: Data-centric Machine Learning Research -- Past, Present and Future

21 November 2023
Luis Oala
M. Maskey
Lilith Bat-Leah
Alicia Parrish
Nezihe Merve Gürel
Tzu-Sheng Kuo
Yang Liu
Rotem Dror
Danilo Brajovic
Xiaozhe Yao
Max Bartolo
W. G. Rojas
Ryan Hileman
Rainier Aliment
Michael W. Mahoney
Meg Risdal
Matthew Lease
Wojciech Samek
Debojyoti Dutta
Curtis G. Northcutt
Cody Coleman
Braden Hancock
Bernard Koch
G. Tadesse
Bojan Karlavs
Ahmed Alaa
Adji Bousso Dieng
Natasha Noy
Vijay Janapa Reddi
James Y. Zou
Praveen K. Paritosh
M. Schaar
K. Bollacker
Lora Aroyo
Ce Zhang
Joaquin Vanschoren
Isabelle Guyon
Peter Mattson
    AI4CE
ArXivPDFHTML
Abstract

Drawing from discussions at the inaugural DMLR workshop at ICML 2023 and meetings prior, in this report we outline the relevance of community engagement and infrastructure development for the creation of next-generation public datasets that will advance machine learning science. We chart a path forward as a collective effort to sustain the creation and maintenance of these datasets and methods towards positive scientific, societal and business impact.

View on arXiv
Comments on this paper