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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
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
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
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
FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries
by Ronak Tali, et al
Action Editor: Sergio Escalera
https://t.co/KQ4M4m9fkd
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
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
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
Challenge design roadmap
by Hugo Jair Escalante, Isabelle Guyon, Addison Howard, Walter Reade, Sébastien Treguer
Action Editor: Sebastian Schelter
https://t.co/TntwN4osiy
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
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
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
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
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
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
'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