'Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery' by Yoshitomo Matsubara, Naoya Chiba, Ryo Igarashi, Yoshitaka Ushiku Action Editor: Theodoros Rekatsinas openreview.net/pdf?id=qrUdrXs… #SymbolicRegression #ScientificDiscovery #Physics

'Detecting Errors in a Numerical Response via any Regression Model' by Hang Zhou, Jonas Mueller, Mayank Kumar, Jane-Ling Wang, Jing Lei Action Editor: Raul Castro Fernandez openreview.net/pdf?id=CIQ5iem… #AleatoricUncertainty #EpistemicUncertainty #SupervisedMachineLearning

'DMLR: Data-centric Machine Learning Research - Past, Present and Future' by Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William A Gaviria Rojas, Ryan Hileman,

'Building Better Datasets: Seven Recommendations for Responsible Design from Dataset Creators' by Will Orr and Kate Crawford Action Editor: Yang Liu openreview.net/forum?id=6bd8B… #ResponsibleDatasetCreation #EthicalConsiderations #DataQuality #DataDocumentation

'Highlighting Challenges of State-of-the-Art Semantic Segmentation with HAIR - A Dataset of Historical Aerial Images' by Saeid Shamsaliei, Odd Erik Gundersen, Knut Tore Alfredsen, Jo Halvard Halleraker, Anders Foldvik Action Editor: Joaquin Vanschoren data.mlr.press/assets/pdf/v01…

'NAFlora-1M: Continental-Scale High-Resolution Fine-Grained Plant Classification Dataset' by John Park, Riccardo de Lutio, Brendan Rappazzo, Barbara Ambrose, Fabian Michelangeli, Kimberly Watson, Serge Belongie, Damon Little Action Editor: Sergio Escalera

'You can’t handle the (dirty) truth: Data-centric Insights improve Pseudo-Labeling' by Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar Action Editor: Sergio Escalera data.mlr.press/assets/pdf/v01… #PseudoLabeling #SemiSupervisedLearning

'GlycoNMR: Dataset and Benchmark of Carbohydrate-Specific NMR Chemical Shift for Machine Learning Research' by Zizhang Chen, Ryan Paul Badman, Bethany Lachele Foley, Robert J Woods, Pengyu Hong Action Editor: Yue Zhao data.mlr.press/assets/pdf/v01… #Glycoscience

'Datasets and Benchmarks for Offline Safe Reinforcement Learning' by Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao Action Editor: Jakob Nicolaus Foerster data.mlr.press/assets/pdf/v01…

'VALUED - Vision and Logical Understanding Evaluation Dataset' by Soumadeep Saha, Saptarshi Saha, Utpal Garain Action Editor: Sergio Escalera data.mlr.press/assets/pdf/v01… #LogicalConstraints #DomainKnowledge #DeepLearning

'On Minimizing the Training Set Fill Distance in Machine Learning Regression' by Paolo Climaco and Jochen Garcke Action Editor: Yue Zhao data.mlr.press/assets/pdf/v01… #FillDistance #FarthestPointSampling #MaximumError #DatasetSelection #Coresets

'FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things' by Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, Jeonggil Ko, Kiran Somasundaram, Shrikanth Narayanan, Salman Avestimehr, Mi Zhang Action Editor: Peter Mattson

'Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge' by Yvenn Amara-Ouali, Yannig Goude, Nathan Doumèche, Pascal Veyret, Alexis Thomas, Daniel Hebenstreit, Thomas Wedenig, Arthur Satouf, Aymeric Jan, Yannick Deleuze, Paul Berhaut, Sebastien

'Deep Neural Network Benchmarks for Selective Classification' by Andrea Pugnana, Lorenzo Perini, Jesse Davis, Salvatore Ruggieri Action Editor: Mykola Pechenizkiy data.mlr.press/assets/pdf/v01… #SelectiveClassification #RejectOption #TrustworthyAI

'Potion: Towards Poison Unlearning' by Stefan Schoepf, Jack Foster, Alexandra Brintrup Action Editor: Hongyang Zhang data.mlr.press/assets/pdf/v01… #MachineUnlearning #DataPoisoning #CorrectiveMachineUnlearning

'ComPile: A Large IR Dataset from Production Sources' by Aiden Grossman, Ludger Paehler, Konstantinos Parasyris, Tal Ben-Nun, Jacob Hegna, William S. Moses, Jose M Monsalve Diaz, Mircea Trofin, Johannes Doerfert Action Editor: Sebastian Schelter data.mlr.press/assets/pdf/v01… #Code

'Benchmarking Edge Regression on Temporal Networks' by Muberra Ozmen, Florence Regol, Thomas Markovich Action Editor: Yue Zhao data.mlr.press/assets/pdf/v01… #TemporalEdgeRegression #GraphRepresentationLearning #EdgewiseGraphLearning #TemporalGraphLearning

'On Catastrophic Inheritance of Large Foundation Models' by Hao Chen, Bhiksha Raj, Xing Xie, Jindong Wang Action Editor: Andreas Kirsch data.mlr.press/assets/pdf/v01… #CatastrophicInheritance #PretrainingData #FoundationModels

'When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective' by Hao Sun, Alex James Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar Action Editor: Omar Rivasplata data.mlr.press/assets/pdf/v01… #DataCentricAI