Journal of Data-centric Machine Learning Research

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[Journal of Data-centric Machine Learning Research @DMLRJournal]

Got strong reviews at NeurIPS Datasets & Benchmarks but no accept? DMLR Special Conference Track wants your data-centric work! See the CFP at https://t.co/q1ua2TPXu0
#ML #DataCentricAI #DMLR #NeurIPS #NeurIPS2025

[Journal of Data-centric Machine Learning Research @DMLRJournal]

We have updated the CFP page on https://t.co/XYIhFB6euK

Please check it out and share it with your friends!

[Journal of Data-centric Machine Learning Research @DMLRJournal]

Got strong reviews at NeurIPS Datasets & Benchmarks but no accept? DMLR Special Conference Track wants your data-centric work! See the CFP at https://t.co/q1ua2TPXu0
#ML #DataCentricAI #DMLR #NeurIPS #NeurIPS2025

[Journal of Data-centric Machine Learning Research @DMLRJournal]

Synthetic Datasets for Machine Learning on Spatio-Temporal Graphs using PDEs

by Jost Arndt, Utku Isil, Michael Detzel, Wojciech Samek, Jackie Ma

Action Editor: Yi Liu

https://t.co/91zP9Vjw20

[Journal of Data-centric Machine Learning Research @DMLRJournal]

The FIX Benchmark: Extracting Features Interpretable to eXperts

by Helen Jin, et al

Action Editor: Hugo Jair Escalante

https://t.co/97OMzrZOqA

[Journal of Data-centric Machine Learning Research @DMLRJournal]

Chronicling Germany: An Annotated Historical Newspaper Dataset

by Christian Schultze, Niklas Kerkfeld, Kara Kuebart, Princilia Weber, Moritz Wolter, Felix Selgert

Action Editor: Hugo Jair Escalante

https://t.co/JbB8MRIBPM

[Journal of Data-centric Machine Learning Research @DMLRJournal]

MONSTER: Monash Scalable Time Series Evaluation Repository

by Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan, Lynn Miller, Amish Mishra, Mahsa Salehi, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb

Action Editor: Hugo Jair Escalante

https://t.co/P1JkMUJoqk

[Journal of Data-centric Machine Learning Research @DMLRJournal]

FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries

by Ronak Tali, et al

Action Editor: Sergio Escalera

https://t.co/KQ4M4m9fkd

[Journal of Data-centric Machine Learning Research @DMLRJournal]

Text Quality-Based Pruning for Efficient Training of Language Models

by Vasu Sharma, Karthik Padthe, Newsha Ardalani, Kushal Tirumala, Russell Howes, Hu Xu, Po-Yao Huang, Daniel Li Chen, Armen Aghajanyan, Gargi Ghosh, Luke Zettlemoyer

AE: Yang Liu

https://t.co/MoP5BTWJD6

[Journal of Data-centric Machine Learning Research @DMLRJournal]

Deep Learning for Accurate Diagnosis of Viral Infections through scRNA-seq Analysis: A Comprehensive Benchmark Study

by Ziwei Yang, Xuxi Chen, Biqing Zhu, Tianlong Chen, Zhangyang Wang

Action Editor: Sergio Escalera

https://t.co/wQr1F6WZMT

[Journal of Data-centric Machine Learning Research @DMLRJournal]

Data Acquisition: A New Frontier in Data-centric AI

by Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou

Action Editor: Remi Denton

https://t.co/O44QfLMbZ4

[Journal of Data-centric Machine Learning Research @DMLRJournal]

Challenge design roadmap

by Hugo Jair Escalante, Isabelle Guyon, Addison Howard, Walter Reade, Sébastien Treguer

Action Editor: Sebastian Schelter

https://t.co/TntwN4osiy

[Journal of Data-centric Machine Learning Research @DMLRJournal]

V-LoL😂: A Diagnostic Dataset for Visual Logical Learning

by Lukas Helff, Wolfgang Stammer, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting

Action Editor: Christopher De Sa

https://t.co/KcdfJE7M0e

[Journal of Data-centric Machine Learning Research @DMLRJournal]

SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning

by Pu Ren, N. Benjamin Erichson, Junyi Guo, Shashank Subramanian, Omer San, Zarija Lukić, Michael W. Mahoney

Action Editor: Holger Caesar

https://t.co/39cOLHhpRy

[Journal of Data-centric Machine Learning Research @DMLRJournal]

Towards impactful challenges: post-challenge paper, benchmarks and other dissemination actions

by Antoine Marot, David Rousseau, Zhen (Zach) Xu

Action Editor: Sebastian Schelter

https://t.co/cLsZvKvHj0

[Journal of Data-centric Machine Learning Research @DMLRJournal]

Constructing Confidence Intervals for "the" Generalization Error – a Comprehensive Benchmark Study

by Hannah Schulz-Kümpel, Sebastian Fischer, Roman Hornung, Anne-Laure Boulesteix, Thomas Nagler, Bernd Bischl

Action Editor: Yue Zhao

https://t.co/Y8BkYU5cYW

[Journal of Data-centric Machine Learning Research @DMLRJournal]

ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications

by Juan Zuluaga-Gomez, et al.

Action Editor: Peter Mattson

https://t.co/5pfvxly42y

[Journal of Data-centric Machine Learning Research @DMLRJournal]

Evaluating Durability: Benchmark Insights into Image and Text Watermarking

by Jielin Qiu, William Han, Xuandong Zhao, Shangbang Long, Christos Faloutsos, Lei Li

Action Editor: Hongyang Zhang

https://t.co/bHeJ94nRPS

[Journal of Data-centric Machine Learning Research @DMLRJournal]

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection

by Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

Action Editor: Yang Liu

https://t.co/D6Mexq2lf6

[Journal of Data-centric Machine Learning Research @DMLRJournal]

'Properties of Alternative Data for Fairer Credit Risk Predictions'

by Jung Youn Lee, Joonhyuk Yang

Action Editor: Yang Liu

https://t.co/RXhneGp81d

#AlternativeData #ProxyDiscrimination #GenderGap #CreditScoring #AlgorithmicFairness

[Journal of Data-centric Machine Learning Research @DMLRJournal]

'The Matrix Reloaded: Towards Counterfactual Group Fairness in Machine Learning'

by Mariana Pinto, André V. Carreiro, Pedro Madeira, Alberto López, Hugo Gamboa

Action Editor: Yang Liu

https://t.co/oW5YxWDasS

#Bias #Fairness #Counterfactual #ConfusionMatrix #DataAugmentation